MIME-Version: 1.0
Content-Type: multipart/related; boundary="----=_NextPart_01C90D13.82D38610"

This document is a Single File Web Page, also known as a Web Archive file.  If you are seeing this message, your browser or editor doesn't support Web Archive files.  Please download a browser that supports Web Archive, such as Microsoft Internet Explorer.

------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc.htm
Content-Transfer-Encoding: quoted-printable
Content-Type: text/html; charset="us-ascii"

<html xmlns:v=3D"urn:schemas-microsoft-com:vml"
xmlns:o=3D"urn:schemas-microsoft-com:office:office"
xmlns:w=3D"urn:schemas-microsoft-com:office:word"
xmlns=3D"http://www.w3.org/TR/REC-html40">

<head>
<meta http-equiv=3DContent-Type content=3D"text/html; charset=3Dus-ascii">
<meta name=3DProgId content=3DWord.Document>
<meta name=3DGenerator content=3D"Microsoft Word 11">
<meta name=3DOriginator content=3D"Microsoft Word 11">
<link rel=3DFile-List href=3D"M117Lesson4.2-4.4doc_files/filelist.xml">
<link rel=3DEdit-Time-Data href=3D"M117Lesson4.2-4.4doc_files/editdata.mso">
<link rel=3DOLE-Object-Data href=3D"M117Lesson4.2-4.4doc_files/oledata.mso">
<!--[if !mso]>
<style>
v\:* {behavior:url(#default#VML);}
o\:* {behavior:url(#default#VML);}
w\:* {behavior:url(#default#VML);}
.shape {behavior:url(#default#VML);}
</style>
<![endif]-->
<title>Lesson 4</title>
<!--[if gte mso 9]><xml>
 <o:DocumentProperties>
  <o:Author>GX620 Image</o:Author>
  <o:LastAuthor>GX620 Image</o:LastAuthor>
  <o:Revision>2</o:Revision>
  <o:TotalTime>373</o:TotalTime>
  <o:Created>2008-09-02T19:49:00Z</o:Created>
  <o:LastSaved>2008-09-02T19:49:00Z</o:LastSaved>
  <o:Pages>1</o:Pages>
  <o:Words>467</o:Words>
  <o:Characters>2662</o:Characters>
  <o:Company>Indiana University</o:Company>
  <o:Lines>22</o:Lines>
  <o:Paragraphs>6</o:Paragraphs>
  <o:CharactersWithSpaces>3123</o:CharactersWithSpaces>
  <o:Version>11.9999</o:Version>
 </o:DocumentProperties>
</xml><![endif]--><!--[if gte mso 9]><xml>
 <w:WordDocument>
  <w:PunctuationKerning/>
  <w:ValidateAgainstSchemas/>
  <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid>
  <w:IgnoreMixedContent>false</w:IgnoreMixedContent>
  <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText>
  <w:Compatibility>
   <w:BreakWrappedTables/>
   <w:SnapToGridInCell/>
   <w:WrapTextWithPunct/>
   <w:UseAsianBreakRules/>
   <w:DontGrowAutofit/>
  </w:Compatibility>
  <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel>
 </w:WordDocument>
</xml><![endif]--><!--[if gte mso 9]><xml>
 <w:LatentStyles DefLockedState=3D"false" LatentStyleCount=3D"156">
 </w:LatentStyles>
</xml><![endif]-->
<style>
<!--
 /* Style Definitions */
 p.MsoNormal, li.MsoNormal, div.MsoNormal
	{mso-style-parent:"";
	margin:0in;
	margin-bottom:.0001pt;
	mso-pagination:widow-orphan;
	font-size:12.0pt;
	font-family:"Times New Roman";
	mso-fareast-font-family:"Times New Roman";}
@page Section1
	{size:8.5in 11.0in;
	margin:1.0in 1.25in 1.0in 1.25in;
	mso-header-margin:.5in;
	mso-footer-margin:.5in;
	mso-paper-source:0;}
div.Section1
	{page:Section1;}
-->
</style>
<!--[if gte mso 10]>
<style>
 /* Style Definitions */
 table.MsoNormalTable
	{mso-style-name:"Table Normal";
	mso-tstyle-rowband-size:0;
	mso-tstyle-colband-size:0;
	mso-style-noshow:yes;
	mso-style-parent:"";
	mso-padding-alt:0in 5.4pt 0in 5.4pt;
	mso-para-margin:0in;
	mso-para-margin-bottom:.0001pt;
	mso-pagination:widow-orphan;
	font-size:10.0pt;
	font-family:"Times New Roman";
	mso-ansi-language:#0400;
	mso-fareast-language:#0400;
	mso-bidi-language:#0400;}
table.MsoTableGrid
	{mso-style-name:"Table Grid";
	mso-tstyle-rowband-size:0;
	mso-tstyle-colband-size:0;
	border:solid windowtext 1.0pt;
	mso-border-alt:solid windowtext .5pt;
	mso-padding-alt:0in 5.4pt 0in 5.4pt;
	mso-border-insideh:.5pt solid windowtext;
	mso-border-insidev:.5pt solid windowtext;
	mso-para-margin:0in;
	mso-para-margin-bottom:.0001pt;
	mso-pagination:widow-orphan;
	font-size:10.0pt;
	font-family:"Times New Roman";
	mso-ansi-language:#0400;
	mso-fareast-language:#0400;
	mso-bidi-language:#0400;}
</style>
<![endif]--><!--[if gte mso 9]><xml>
 <o:shapedefaults v:ext=3D"edit" spidmax=3D"2050"/>
</xml><![endif]--><!--[if gte mso 9]><xml>
 <o:shapelayout v:ext=3D"edit">
  <o:idmap v:ext=3D"edit" data=3D"1"/>
 </o:shapelayout></xml><![endif]-->
</head>

<body lang=3DEN-US style=3D'tab-interval:.5in'>

<div class=3DSection1>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-size:18.0pt'>Lesson 4.2-4.4</span><span style=3D'font-size:8.=
0pt'>F&#8217;08</span><span
style=3D'font-size:18.0pt'><o:p></o:p></span></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>Objectives:<span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>To determine
whether a given ordered pair <o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><span style=3D'mso-ta=
b-count:
3'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>is
a solution to a given equation.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>Find solutions for an equation with two<o:p></o:=
p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>unknowns.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>To graph linear equations.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>Find the coordinates of the x-and y-<o:p></o:p><=
/span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>intercepts, and use them to graph a linear <o:p>=
</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>equation.<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>To compare lines with different slopes.<o:p></o:=
p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>To graph equations in slope-intercept form.<o:p>=
</o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>To find the slope of a line given two points <o:=
p></o:p></span></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>on the line.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>EXAMPLE:<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Determine whether the ordered pair=
 (3,
2) is <o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><span style=3D'mso-ta=
b-count:
2'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp; </span><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>a solution=
 for
the equation y =3D 3x - 8.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal style=3D'margin-left:1.0in;text-indent:.5in'><span
style=3D'font-size:18.0pt'>Is ( 0, -8)?<span style=3D'mso-tab-count:2'>&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp; </span><o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></spa=
n></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>Example:<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Find three solutions for the equat=
ion 2x
+ y =3D 12.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><span style=3D'mso-ta=
b-count:
2'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp; </span>Then
use your point to graph the line.<o:p></o:p></span></p>

<table class=3DMsoTableGrid border=3D1 cellspacing=3D0 cellpadding=3D0 alig=
n=3Dleft
 style=3D'border-collapse:collapse;border:none;mso-border-alt:solid windowt=
ext .5pt;
 mso-yfti-tbllook:480;mso-table-lspace:9.0pt;margin-left:6.75pt;mso-table-r=
space:
 9.0pt;margin-right:6.75pt;mso-table-anchor-vertical:paragraph;mso-table-an=
chor-horizontal:
 margin;mso-table-left:left;mso-table-top:12.7pt;mso-padding-alt:0in 5.4pt =
0in 5.4pt;
 mso-border-insideh:.5pt solid windowtext;mso-border-insidev:.5pt solid win=
dowtext'>
 <tr style=3D'mso-yfti-irow:0;mso-yfti-firstrow:yes;height:23.65pt'>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:2=
3.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'>x<o:p></o:p></span></p>
  </td>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  border-left:none;mso-border-left-alt:solid windowtext .5pt;mso-border-alt:
  solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:23.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'>y<o:p></o:p></span></p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:1;height:23.65pt'>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt;height:23.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border-top:none;border=
-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:2=
3.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:2;height:23.65pt'>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt;height:23.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border-top:none;border=
-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:2=
3.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:3;mso-yfti-lastrow:yes;height:24.55pt'>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt;height:24.55pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border-top:none;border=
-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:2=
4.55pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
 </tr>
</table>

<p class=3DMsoNormal><!--[if gte vml 1]><v:shapetype id=3D"_x0000_t75" coor=
dsize=3D"21600,21600"
 o:spt=3D"75" o:preferrelative=3D"t" path=3D"m@4@5l@4@11@9@11@9@5xe" filled=
=3D"f"
 stroked=3D"f">
 <v:stroke joinstyle=3D"miter"/>
 <v:formulas>
  <v:f eqn=3D"if lineDrawn pixelLineWidth 0"/>
  <v:f eqn=3D"sum @0 1 0"/>
  <v:f eqn=3D"sum 0 0 @1"/>
  <v:f eqn=3D"prod @2 1 2"/>
  <v:f eqn=3D"prod @3 21600 pixelWidth"/>
  <v:f eqn=3D"prod @3 21600 pixelHeight"/>
  <v:f eqn=3D"sum @0 0 1"/>
  <v:f eqn=3D"prod @6 1 2"/>
  <v:f eqn=3D"prod @7 21600 pixelWidth"/>
  <v:f eqn=3D"sum @8 21600 0"/>
  <v:f eqn=3D"prod @7 21600 pixelHeight"/>
  <v:f eqn=3D"sum @10 21600 0"/>
 </v:formulas>
 <v:path o:extrusionok=3D"f" gradientshapeok=3D"t" o:connecttype=3D"rect"/>
 <o:lock v:ext=3D"edit" aspectratio=3D"t"/>
</v:shapetype><v:shape id=3D"_x0000_i1025" type=3D"#_x0000_t75" alt=3D"[ima=
ge]"
 style=3D'width:159.75pt;height:168.75pt'>
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image001.gif" o:href=3D"../=
My%20Documents/TIIimagefile10260.gif"/>
</v:shape><![endif]--><![if !vml]><img width=3D213 height=3D225
src=3D"M117Lesson4.2-4.4doc_files/image001.gif" alt=3D"[image]" v:shapes=3D=
"_x0000_i1025"><![endif]></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>EXAMPLE: Graph 4x - y=
 =3D 8.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>Let&#8217;s first sol=
ve for
y,<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>Then find three point=
s that
lie on the line.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>Finally graph those p=
oints
and connect them with a line.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<table class=3DMsoTableGrid border=3D1 cellspacing=3D0 cellpadding=3D0 alig=
n=3Dleft
 style=3D'border-collapse:collapse;border:none;mso-border-alt:solid windowt=
ext .5pt;
 mso-yfti-tbllook:480;mso-table-lspace:9.0pt;margin-left:6.75pt;mso-table-r=
space:
 9.0pt;margin-right:6.75pt;mso-table-anchor-vertical:paragraph;mso-table-an=
chor-horizontal:
 margin;mso-table-left:left;mso-table-top:12.7pt;mso-padding-alt:0in 5.4pt =
0in 5.4pt;
 mso-border-insideh:.5pt solid windowtext;mso-border-insidev:.5pt solid win=
dowtext'>
 <tr style=3D'mso-yfti-irow:0;mso-yfti-firstrow:yes;height:23.65pt'>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:2=
3.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'>x<o:p></o:p></span></p>
  </td>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  border-left:none;mso-border-left-alt:solid windowtext .5pt;mso-border-alt:
  solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:23.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'>y<o:p></o:p></span></p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:1;height:23.65pt'>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt;height:23.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border-top:none;border=
-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:2=
3.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:2;height:23.65pt'>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt;height:23.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border-top:none;border=
-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:2=
3.65pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
 </tr>
 <tr style=3D'mso-yfti-irow:3;mso-yfti-lastrow:yes;height:24.55pt'>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border:solid windowtex=
t 1.0pt;
  border-top:none;mso-border-top-alt:solid windowtext .5pt;mso-border-alt:s=
olid windowtext .5pt;
  padding:0in 5.4pt 0in 5.4pt;height:24.55pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
  <td width=3D46 valign=3Dtop style=3D'width:34.55pt;border-top:none;border=
-left:
  none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1=
.0pt;
  mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid window=
text .5pt;
  mso-border-alt:solid windowtext .5pt;padding:0in 5.4pt 0in 5.4pt;height:2=
4.55pt'>
  <p class=3DMsoNormal style=3D'mso-element:frame;mso-element-frame-hspace:=
9.0pt;
  mso-element-wrap:around;mso-element-anchor-vertical:paragraph;mso-element=
-anchor-horizontal:
  margin;mso-element-top:12.7pt;mso-height-rule:exactly'><span
  style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></span></p>
  </td>
 </tr>
</table>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><!--[if gte vml 1]><v:shape id=3D"_x0000_i1026" type=
=3D"#_x0000_t75"
 alt=3D"[image]" style=3D'width:204pt;height:215.25pt'>
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image001.gif" o:href=3D"../=
My%20Documents/TIIimagefile10730.gif"/>
</v:shape><![endif]--><![if !vml]><img width=3D272 height=3D287
src=3D"M117Lesson4.2-4.4doc_files/image002.jpg" alt=3D"[image]" v:shapes=3D=
"_x0000_i1026"><![endif]></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>EXAMPLE:<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Graph<span style=3D'mso-tab-count:=
1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp; </span>1.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>x =3D -2<span style=3D'mso-tab-cou=
nt:2'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp; </span>2.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>y =3D 4<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><!--[if gte vml 1]><v:shape id=3D"_x0000_i1027" type=
=3D"#_x0000_t75"
 alt=3D"[image]" style=3D'width:159.75pt;height:168.75pt'>
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image001.gif" o:href=3D"../=
My%20Documents/TIIimagefile10730.gif"/>
</v:shape><![endif]--><![if !vml]><img width=3D213 height=3D225
src=3D"M117Lesson4.2-4.4doc_files/image001.gif" alt=3D"[image]" v:shapes=3D=
"_x0000_i1027"><![endif]><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp; </span><span style=3D'mso-tab=
-count:
3'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp; </span><!--[if gte vml 1]><v:shape
 id=3D"_x0000_i1028" type=3D"#_x0000_t75" alt=3D"[image]" style=3D'width:15=
9.75pt;
 height:168.75pt'>
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image001.gif" o:href=3D"../=
My%20Documents/TIIimagefile10730.gif"/>
</v:shape><![endif]--><![if !vml]><img width=3D213 height=3D225
src=3D"M117Lesson4.2-4.4doc_files/image001.gif" alt=3D"[image]" v:shapes=3D=
"_x0000_i1028"><![endif]></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>Where do the lines cr=
oss the
axis?<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>What are the coordina=
tes of
the x and y intercept for the following graph?<span
style=3D'mso-spacerun:yes'>&nbsp; </span></span><span style=3D'font-size:16=
.0pt'>The
point where a graph intersects to x-axis is called the <u>x-intercept</u>.<=
span
style=3D'mso-spacerun:yes'>&nbsp; </span>The point where the graph intersec=
ts the
y- axis is called the <u>y intercept</u>.</span><span style=3D'font-size:18=
.0pt'><o:p></o:p></span></p>

<p class=3DMsoNormal><!--[if gte vml 1]><v:shape id=3D"_x0000_i1029" type=
=3D"#_x0000_t75"
 alt=3D"[image]" style=3D'width:157.5pt;height:159.75pt'>
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image003.gif" o:href=3D"../=
My%20Documents/TIIimagefile11361.gif"/>
</v:shape><![endif]--><![if !vml]><img width=3D210 height=3D213
src=3D"M117Lesson4.2-4.4doc_files/image003.gif" alt=3D"[image]" v:shapes=3D=
"_x0000_i1029"><![endif]></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>To find the x and y
intercepts from an equation:<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:16.0pt'>To find the x-interce=
pt:<span
style=3D'mso-tab-count:3'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>To
find the x-intercept:<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:16.0pt'>1.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Replace y with 0 in the <span
style=3D'mso-tab-count:3'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp; </span>1.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Replace x with 0 in the <o:p></o:p=
></span></p>

<p class=3DMsoNormal><span style=3D'font-size:16.0pt'><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp;&nbsp; </span>given equation.<=
span
style=3D'mso-tab-count:4'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbs=
p;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp; </span><span
style=3D'mso-spacerun:yes'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>given equa=
tion.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:16.0pt'>2.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Solve for x.<span style=3D'mso-tab=
-count:
5'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nb=
sp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>2.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Solve for y.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:16.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>EXAMPLE:<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Find the x and y intercepts for ea=
ch
equation.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><span style=3D'mso-ta=
b-count:
1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>1.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>2x + 6 y =3D 18<span style=3D'mso-=
tab-count:
1'>&nbsp;&nbsp;&nbsp;&nbsp; </span>2.<span style=3D'mso-spacerun:yes'>&nbsp;
</span>y =3D 3x + 1</span>(note the significances of the 1)</p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>EXAMPLE:<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Graph each of the following on the=
 same
grid.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>1.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>y =3D x</span><span style=3D'font-=
size:8.0pt'>
blue</span><span style=3D'font-size:18.0pt'><span style=3D'mso-tab-count:1'=
>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>2.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>y =3D 2x<span style=3D'mso-tab-cou=
nt:1'> </span></span><span
style=3D'font-size:8.0pt'>red</span><span style=3D'font-size:18.0pt'><span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>3.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>y =3D </span><sub><!--[if gte vml =
1]><v:shape
 id=3D"_x0000_i1030" type=3D"#_x0000_t75" style=3D'width:12.75pt;height:33p=
t' o:ole=3D"">
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image004.wmz" o:title=3D""/>
</v:shape><![endif]--><![if !vml]><img width=3D17 height=3D44
src=3D"M117Lesson4.2-4.4doc_files/image005.gif" v:shapes=3D"_x0000_i1030"><=
![endif]></sub><!--[if gte mso 9]><xml>
 <o:OLEObject Type=3D"Embed" ProgID=3D"Equation.DSMT4" ShapeID=3D"_x0000_i1=
030"
  DrawAspect=3D"Content" ObjectID=3D"_1281875785">
 </o:OLEObject>
</xml><![endif]--><span style=3D'font-size:18.0pt'>x</span><span
style=3D'font-size:8.0pt'>green</span><span style=3D'font-size:18.0pt'><span
style=3D'mso-tab-count:1'>&nbsp;&nbsp;&nbsp; </span>4.<span
style=3D'mso-spacerun:yes'>&nbsp; </span>y =3D -2x</span><span style=3D'fon=
t-size:
8.0pt'>lime</span><span style=3D'font-size:18.0pt'><o:p></o:p></span></p>

<p class=3DMsoNormal><!--[if gte vml 1]><v:shape id=3D"_x0000_i1031" type=
=3D"#_x0000_t75"
 alt=3D"[image]" style=3D'width:297pt;height:297pt'>
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image006.gif" o:href=3D"../=
My%20Documents/TIIimagefile6448.gif"/>
</v:shape><![endif]--><![if !vml]><img width=3D396 height=3D396
src=3D"M117Lesson4.2-4.4doc_files/image007.jpg" alt=3D"[image]" v:shapes=3D=
"_x0000_i1031"><![endif]></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>How does the coeffici=
ent of x
affect the graph?<span style=3D'mso-spacerun:yes'>&nbsp; </span><o:p></o:p>=
</span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>This coefficient is c=
alled
the <u>slope</u>.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>In the equation y =3D=
 mx + b, <u>m</u>
is the slope and <u>(0,b)</u> is the y-intercept.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>SLOPE-The ratio of the
vertical change between any two <o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><span style=3D'mso-ta=
b-count:
1'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>points on a line to the
horizontal change between these<o:p></o:p></span></p>

<p class=3DMsoNormal style=3D'text-indent:.5in'><span style=3D'font-size:18=
.0pt'>two
points.<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:16.0pt'>Find the slope of the=
 line
containing the points: </span><span style=3D'font-size:18.0pt'><span
style=3D'mso-spacerun:yes'>&nbsp;</span>(4, -2) and (6, 4)<o:p></o:p></span=
></p>

<p class=3DMsoNormal><!--[if gte vml 1]><v:shape id=3D"_x0000_i1032" type=
=3D"#_x0000_t75"
 alt=3D"[image]" style=3D'width:333pt;height:297.75pt'>
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image008.png" o:href=3D"../=
My%20Documents/TIIimagefile17376.gif"/>
</v:shape><![endif]--><![if !vml]><img width=3D444 height=3D397
src=3D"M117Lesson4.2-4.4doc_files/image009.jpg" alt=3D"[image]" v:shapes=3D=
"_x0000_i1032"><![endif]></p>

<p class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><span
style=3D'font-size:18.0pt'>The Slope Formula<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>Given two points(x<su=
b>1</sub><sup>,
</sup>y<sub>1</sub>) and (x<sub>2</sub>, y<sub>2</sub>), where x<sub>2</sub=
></span><sub><!--[if gte vml 1]><v:shape
 id=3D"_x0000_i1033" type=3D"#_x0000_t75" style=3D'width:14.25pt;height:14.=
25pt'
 o:ole=3D"">
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image010.wmz" o:title=3D""/>
</v:shape><![endif]--><![if !vml]><img width=3D19 height=3D19
src=3D"M117Lesson4.2-4.4doc_files/image011.gif" v:shapes=3D"_x0000_i1033"><=
![endif]></sub><!--[if gte mso 9]><xml>
 <o:OLEObject Type=3D"Embed" ProgID=3D"Equation.DSMT4" ShapeID=3D"_x0000_i1=
033"
  DrawAspect=3D"Content" ObjectID=3D"_1281875786">
 </o:OLEObject>
</xml><![endif]--><span style=3D'font-size:18.0pt'>x</span><sub>1</sub><sub=
><span
style=3D'font-size:18.0pt'>, </span></sub><span style=3D'font-size:18.0pt'>=
the
slope of the line containing the two points is given by the formula <o:p></=
o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><span
style=3D'mso-spacerun:yes'>&nbsp; </span>m =3D </span><sub><!--[if gte vml =
1]><v:shape
 id=3D"_x0000_i1034" type=3D"#_x0000_t75" style=3D'width:48pt;height:39.75p=
t' o:ole=3D"">
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image012.wmz" o:title=3D""/>
</v:shape><![endif]--><![if !vml]><img width=3D64 height=3D53
src=3D"M117Lesson4.2-4.4doc_files/image013.gif" v:shapes=3D"_x0000_i1034"><=
![endif]></sub><!--[if gte mso 9]><xml>
 <o:OLEObject Type=3D"Embed" ProgID=3D"Equation.DSMT4" ShapeID=3D"_x0000_i1=
034"
  DrawAspect=3D"Content" ObjectID=3D"_1281875787">
 </o:OLEObject>
</xml><![endif]-->.</p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>EXAMPLE:<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Find the slope of a line containin=
g the
points(2, -4) and ( -4, 6)<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'><o:p>&nbsp;</o:p></sp=
an></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt'>EXAMPLE:<span
style=3D'mso-spacerun:yes'>&nbsp; </span>Graph y =3D -</span><sub><!--[if g=
te vml 1]><v:shape
 id=3D"_x0000_i1035" type=3D"#_x0000_t75" style=3D'width:15pt;height:36.75p=
t' o:ole=3D"">
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image014.wmz" o:title=3D""/>
</v:shape><![endif]--><![if !vml]><img width=3D20 height=3D49
src=3D"M117Lesson4.2-4.4doc_files/image015.gif" v:shapes=3D"_x0000_i1035"><=
![endif]></sub><!--[if gte mso 9]><xml>
 <o:OLEObject Type=3D"Embed" ProgID=3D"Equation.DSMT4" ShapeID=3D"_x0000_i1=
035"
  DrawAspect=3D"Content" ObjectID=3D"_1281875788">
 </o:OLEObject>
</xml><![endif]--><span style=3D'font-size:18.0pt'>x + 2<o:p></o:p></span><=
/p>

<p class=3DMsoNormal><!--[if gte vml 1]><v:shape id=3D"_x0000_i1036" type=
=3D"#_x0000_t75"
 alt=3D"[image]" style=3D'width:191.25pt;height:179.25pt'>
 <v:imagedata src=3D"M117Lesson4.2-4.4doc_files/image016.gif" o:href=3D"../=
My%20Documents/TIIimagefile16057.gif"/>
</v:shape><![endif]--><![if !vml]><img width=3D255 height=3D239
src=3D"M117Lesson4.2-4.4doc_files/image016.gif" alt=3D"[image]" v:shapes=3D=
"_x0000_i1036"><![endif]></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt;mso-bidi-font-size:12.=
0pt'>Class
work Worksheet 4.2-4,4<o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt;mso-bidi-font-size:12.=
0pt'>Homework
Math XL sections 4.2-4.44 <o:p></o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt;mso-bidi-font-size:12.=
0pt'><o:p>&nbsp;</o:p></span></p>

<p class=3DMsoNormal><span style=3D'font-size:18.0pt;mso-bidi-font-size:12.=
0pt'>DUE
BY_____________________<o:p></o:p></span></p>

<p class=3DMsoNormal><o:p>&nbsp;</o:p></p>

</div>

</body>

</html>

------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image001.gif
Content-Transfer-Encoding: base64
Content-Type: image/gif
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image002.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg

/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf
IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAEfARABAREA/8QAHwAAAQUBAQEB
AQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh
ByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ
WmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXG
x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APZqKKKKKKKKKKKKKKKK
KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKia5gS5S2aZ
BO6lljLDcQOpA9ORUdpqNlfPMlpdRTtbvslEbglG9D6GrNFFFFFFFFFFFFFFFFFFFVpLib7Q0MUI
faoJJbHWmS3V1DGZHtl2j0k/+tT/ADbz/n2T/v5/9amRXV1NGHS2XBz1k/8ArUG6ullWI2y7mBI/
een4US3V1DGXe2XA9JP/AK1P828/59k/7+f/AFqYl1dSM4W2XKNtP7zv+VBurpZViNsu5gSP3np+
FK892iMxtkwoyf3n/wBahJ7uRFdbZMMMj95/9akjurqQuFtl+Rtp/ed/yrkNeiaLxzb3K2YW4uNJ
uo2dXJzgKQM9qp+Brhr3UdMubCJZYoNGWC6dSVCzblOGyOWwP510vh7X9U12GS6bSYoLXe6RP9pD
M5VypyMcdK1hdXRlaIWy7lAJ/eev4US3V1DGZHtl2jriT/61P828/wCfZP8Av5/9amRXV1NGHS2X
Bz1k/wDrUNdXSyrGbZdzgkfvPT8KJbq6hjMj2y4HpJ/9an+bef8APsn/AH8/+tTEurqRnVbZcodp
/ed/yoN1dLKsRtl3MCR+89PwpWnu0QsbZMKMn95/9ahLi7kRXW2TDDI/ef8A1qRLq6kLhbZfkbaf
3nf8qcbm4SSMSwKqu23IfOKtUUUUUVUV0TUZd7KuY16nHrSX80TWbgSITx0Yeoqx58P/AD1T/voV
XsJoltFBkQHLdWHqaJJovt8J8xMBG53D2ovpomtGAkQnI6MPUVY8+H/nqn/fQqvazRCW4zIgzJx8
w9BRJNF/aEJ8xMBG53D2qSeaI28gEqfcP8Q9KLaaIW0QMqA7B/EPSo7WaIPcZkQZlOPmHoKLuWJn
tyJEOJR3HHBqdZIF4V4xn0IrmvAF3anw2sIuYTKlxOWQSDcv71+o7VvJNF/aEp8xMGNedw96L+aJ
rOQCRCeOAw9RVjz4f+eqf99Cq9jNEtqoMiA5bqw9TRLNEb+A+YmArc7h7UX80TWbgSITkdGHqKse
fD/z1T/voVXtZohLc5kQZk4+Yegokmi+3wnzEwEbncPapZ5ojbyASp9w/wAQ9KS2miFrEDKgIQfx
D0qO1miElxmRBmXj5h6ClupI3e3CurHzhwDnsat0UUUUVT8qOXUZfMjV8RrjcM+tJfW0C2blYUB4
5Cj1FT/ZLf8A54R/98iq9jbQNaKWhQnJ5Kj1NEltAL6FRCmCrZG0e1F9bQLaMVhQHI5Cj1FWPslv
/wA8I/8AvkVXtbaBpbgGFDiTAyo44FEltAL+FfJTBRsjaPapZ7W3FvIRBGCEP8I9KS3tbc20RMEZ
JQZO0elR2ttAz3GYYziUgZUccCkvILeMwt5Uar5nzHaAMYPWq+maro2rTyw2exniPRotu8f3lyPm
X3HFZHw/02wXw99pFlAJ5bicSSiMbnAlbGT3roEtoDfyr5KYCLgbR70X1tAtm7LCgIxyFHqKsfZL
f/nhH/3yKr2NtA1qpaGMnLclR6miS2gF9AohTBVsjaPai+toFtHKwoDkchR6irH2S3/54R/98iq9
tbQNLcAwocSYGVHHAoktoBfwqIUwUbI2j2qWe1txBIRBGCFP8I9KS2trdraImCMkoMnaPSo7W2ga
S4BhQ4kwMqOOBS3EEUcluyRIp80chcdjV2iiiiiqLCc6jL5LIvyLncM+tNvVuxaPvkiK8Zwp9RU+
2+/56w/98n/Gq9kt2bVdkkQXJ6qfU0SLd/bYcyRbtrY+U47Ut6t2LVt8kRXI6KfUVPtvv+esP/fJ
/wAar2y3fmT7ZIs+ZzlT1wKHW7+3RZki3bGx8px2qSZb3yJN0kONpzhT6fWi3W8+zx7ZIcbBjKn0
+tR2y3e+fbJFnzDnKnrgVHqUd49v5ZMEhfKqpUgMSpGD7GuY8HabqsGq+ZNbsi21p9nZrmMr5DBh
+6h/vRcdfYVY+H8esf2IzNcWhtDPP5KCJt6nzWzuOcGujRbv7dJiSLdsXPynHelvVuxaPvkiK8Zw
p9RU+2+/56w/98n/ABqCzW7NsuySIDJ6qfU0ki3f22HMkW7a2PlPtS3q3YtX3yRFcjop9RU+2+/5
6w/98n/Gq9ut35s+2SLPmc5U9cCiRbv7bFmSLdtbHynHapZlvfIkzJDjac/KfT60lut59mi2yQ42
DGVPp9ajtlu/Mn2yRZ8znKnrgU6YXIlt/OeMr5o4VSD0NX6KKKKKpNcRQajL5rhcouP1pl7e2z2j
qsoJOOMH1FT/ANoWv/PYfkagsr22jtVVpQDk8YPqaJL22N7C4lG0KwJwfai9vbZ7VlWUE5HGD6ip
/wC0LX/nsPyNQW17bLJcEygbpMjg+goe9tjfROJRtCMCcH2qSe+tWgkAlGSpA4PpSW99bLbxqZQC
EAPB9KZbXtsrzlpQN0hI4PTAoub22doCsoO2UE8Hpg1OL+1Jx5w/I1yvw/1vTW0NrFbpTcwTztJH
tOVBlbHaujS9thfSP5o2lFAOD70Xt7bSWjqsoJOOMH1FT/2ha/8APYfkagsr22jtlVpQDk9j6miS
9tjewuJRtCtk4PtRe3ttJauqygkkcYPqKn/tC1/57D8jUFte2yy3BMoAaTI4PoKJL22N9C4lG0Kw
JwfapJr+1aCQCUZKkDg+lJb31sttEplAIQA8H0plte2yyTkygbpMjg+gpZ7qCaW3WOQM3mg4wfQ1
foooooqrH/yEZv8Armv9aXUP+PKT8P5irGKr6f8A8ea/Vv5mkl/5CEH+439KXUP+PN/qv8xVjFVr
T/W3P/XX+gok/wCQjD/uN/Spbgf6NL/uH+VFsP8ARYv9wfyqO0/1lz/11P8AIU2/dYlikc4RJNzH
0ABJrO0HxVY+IJpY7WNwFG+NzhllTswIJx9Dg+1VvAIH/CKx8D/j5uP/AEc9baf8hGX/AK5r/M0u
of8AHlJ+H8xVjFV7D/j0X/eb+ZpJf+QhB/ut/Sl1D/jyf6j+Yqxiq1r/AK65/wCun9BRJ/yEIP8A
cb+lTTj/AEeT/cP8qba/8ekP+4P5VHaf6y5/66/0FLd/et/+uw/kas0UUUUVRaN5NRl2TNHhFzgA
56029gmW0cm6dhxwVHqKn+zT/wDP5J/3yKr2UEzWqlbp1GTwFHqaJIJhewr9qckq2DtHHSlvYJlt
WJunYZHBUeoqf7NP/wA/kn/fIqvbQTGScC6cYkwflHPAoeCYX0S/anJKNg7Rx0qSa3mEEhN3IQFP
G0elFvbzG3jIu5ACg42jjio7aCYvPi6cYkIPyjngVHqVnPLb+T9rfM2Y1JUfKSpGa57wn4Y1HS72
IvGthBaWYtWWIqRduCD52B04GOeead8P7C8GiNcHVp2hknnCW5RdsZErcg4yc+9dGkEv26RftT5C
LztHPWlvYJltHLXTsOOCo9RU/wBmn/5/JP8AvkVBZwTNbKVunUZPAUeppJIJhewr9qckq2DtHHSl
vYJltXJunYZHBUeoqf7NP/z+Sf8AfIqvbwTGWcC6cYk5+Uc8CiSCYXsS/anJKtg7Rx0qWa3mEEhN
3IQFPG0elJb28xtoiLuQAoONo44qO2gmMk4F04xJg/KOeBTpoZI5bcvcPIPNHBAHY1foooooqi03
k6jL+7kfKL9xc46029ug9o6+RMM45KYHUVP9tH/Pvcf9+6gsroJaqvkTHk8hMjqaJLoG9hbyJuFb
jZyelF7dB7Vl8iYcjkpgdRU/20f8+9x/37qvbXQWS4PkTHMmeE6cCh7oG+ibyJuEbjZz2qWe8Bgk
HkTjKnkx+1Jb3YW3jHkTnCAZCe1MtroK858iY5kJ4TpwKLm6DNB+5mGJQeU68GpxeAn/AI95/wDv
3XK/D/VlbRGtPsN6DDPOTKYD5b5lb7rd66NLoC+kbyJuUUY2c96L26D2jr5EwzjkpgdRU/20f8+9
x/37qCyuglso8iY8nkJkdTRJdA3sLeTNwrcbOT0ovboPauvkTDkclMDqKn+2j/n3uP8Av3Ve2ugs
twfImOZM8J04FLJdA30TeRNwrcbOe1STXgMEg8icZU9Y/akt7sLbRDyJzhAMhPamW10FknPkzHMm
eE6cClnuBLLbr5UqfvQcuuB0NX6KKKKKrR/8hGb/AK5r/WjUP+PKT8P5irNVtP8A+PNfq38zRL/y
EIP9xv6Uah/x5v8AVf5irNVrT/W3P/XX+gok/wCQjD/uN/Spbj/j2l/3D/Kktv8Aj1i/3B/Ko7T/
AFlz/wBdT/IUl4cNbk8ASjJ/A1mWXiePUPE76TbWztAts0wuzwshDhSF9QCetQeAc/8ACKx5/wCf
m4/9HPW2n/IRl/65r/M0ah/x5Sfh/MVZqtYf8ei/7zfzNEv/ACEIP91/6Uah/wAeT/UfzFWarWv+
uuf+uv8AQUSf8hCD/cb+lSz/APHvJ/uH+VJa/wDHpD/uD+VR2n+suf8Arr/QUXn3rf8A67D+RqzR
RRRRVFoFm1GXczjCL91iPWm3tnGlo7B5SRjq5PcVP9hj/wCek3/fw1XsrON7VWLyjk9HI7miSzjF
7Cu+XBVv4z7UXtnGlqzB5TyOrk9xVj7DH/z0m/7+Gq9tZxtJOC8o2yY4c+goezjF9Em+XBRjnec9
qkmso1gkO+XhSeZD6UW9lG1vGxeXlAeJD6VHbWcbPOC8o2yEcOfQUl7YQsscTNKyyvsYGQ9CCDWF
p3w/tNK8S22oWlzcraW9oYUhe5diG3DHX+HHb1xUXw/0a3XRGvRNdeZPPOGUzsUGJW6L0FdGlnGb
6RN8uAinPmHPelvbONLR2DykjHVye4qf7DH/AM9Jv+/hqvZWcb2ysXlHJ6OR3NElnGL2Fd8uCrfx
n2ovbONLV2DynBHVye4qx9hj/wCek3/fw1XtrONpbgF5flkxw59BRJZxi9iXfLgqx++c9qkmsoxB
Id8vCn/lofSi3so2tomLy8oDxIfSo7azjaScF5flkxw59BTprZIZbdlaQnzQPmckdDV+iiiiiqTP
Kmoy+XD5mUXPzAY60y9muGtHDWu0cc7we4qfz7r/AJ8z/wB/BUFlNcLaqFtSwyed4Hc0STXH22Em
1IIVsDeOelF7NcNasGtdoyOd4PcVP591/wA+Z/7+CoLaa4Elxi1zmTn5xxwKHmuPt0RNrhgjYG8c
9KknmuTBIDaEDacnzB6UlvNci3jAtCRsGD5g54pltNcB58WpOZDn5xxwKLma4LQbrXGJRj5xzwan
E9zn/j0P/fwVyvw/vNROiNC2lFbdJ5zHceep8w+a2Rt6jFdGk1x9ukP2X5ti5G8cdaL2a4a0cNa7
RxzvB7ip/Puv+fM/9/BUFlNcLbKFtSwyed4Hc0STXH22Em1wQrYG8c9KL2a4a1cNalRkc7we4qfz
7r/nzP8A38FQW01wJbjFrkmTn5xxwKJJrj7dETa4IVsDeOelSTTXJgkBtCBtPPmD0pLea5FtEBaE
gIMHzBzxTLaa4Ek+LXOZOfnHHApZ5JnltxJb+WPNHO8Hsav0UUUUVVQgajNkgfu16/jRfupsnww7
d/cVY3p/eH51WsGUWa5YdW7+5okZf7QgO4fcbv8ASlv3U2b4YdR39xVjen94fnVa1ZRLc/MP9b6+
wokZf7QhO4fcbv8ASpbh1+zy/MPuHv7Uls6/ZYvmH3B39qjtGUSXHzD/AFp7+wpL58CEoVZhJkDO
MnBwKyNG1fVJNdudN1H7PLsiEztb8C1ZsbYmOfmJBznjpUfgCWP/AIRhE8xNwuLgldwyP3z1uIy/
2jKdwx5a9/rS37qbKQBh27+4qxvT+8PzqvYMotFyw6t39zSSsv2+A7h91u/0pb91Nm+GHUd/cVY3
p/eH51WtWUTXPzD/AFnr7CiRl/tCE7h9xu/0qWd1+zyfMPuHv7Uls6i1i+YfcHf2qO1ZRJc/MP8A
W+vsKW7ZS9vhgf3w7+xq1RRRRRVIwRTajL5saviNcZ7dabe2dulo7LCgIxyB7ip/sNr/AM8E/KoL
Kzt3tVZoUJyeSPc0SWluL6FRCm0q2Rj6UXtnbpasywoDkcge4qf7Da/88E/KoLa0t2kuAYUO2TA4
6cCiS0txfRIIU2lGJGPpUk9lbLBIRAgIUkce1Jb2Vs1tExgQkoCTj2pltaW7POGhQ7ZCBx04FJeW
cA8oJEilpMZx04NZXh7wrc6Pc3Mt7qaaj9pbe261WNt2eDuB5AHAHaqfw/0fTV0I3q2UIuZp51kl
C/M4ErYzXRJaW5v5U8lNoRSBj60XtnbpaOywoCMcge4qf7Da/wDPBPyqCys7d7VWaFCcnnHuaJLS
3F9CohTBVsjH0ovbO3S0dlhQEEcge4qf7Da/88E/KoLa0t2luAYUIWTA46cCiS0txfQoIU2lGJGP
pUk1lbLBIRAgIU449qS3srZraJjAhJQEnHtTLa0t2kuAYUO2TA46cClntoIZLdo4lVvNAyB7Gr1F
FFFFUm8/+0ZfJ8v7i5359/SmXv2z7I+/yNvGcZz1FT/6d/07/wDj1QWX2z7KuzyNuT1znqaJPtn2
2HPkbtrY647UXv2z7K2/yNuR0znqKn/07/p3/wDHqgtvtnmXG3yc+ZznPXAof7Z9uiz5O7Y2OuO1
ST/bfIk3eRjac4z6Ulv9t+zx7fIxsGM59KZbfbN8+3yP9Yc5z1wKLn7Zug3eR/rRjGeuDU4+3Z5+
z/8Aj1cr8P8A+2P7Ebd9h+x+fP5ON/mZ81s7u35V0afbPt0mPJ3bFz1xjmi9+2fZH3+Rt4zjOeoq
f/Tv+nf/AMeqCy+2fZl2eRtyeuc9TRJ9s+2w58jdtbHXHai9+2fZX3+RtyOmc9RU/wDp3/Tv/wCP
VBbfbPNuNvk58znOeuBRJ9s+3RZ8ndtbHXHapJvtvkSZ8jG05xn0pLf7b9mi2+RjYMZz6Uy2+2eZ
Pt8jPmc5z1wKWf7T5tv53lbfNH3M56H1q/RRRRRWZDqNq3iG7sQ+J4YI3cEYGGLY5/A0a7qVpp2j
z3VzLiJCu4ryeWAHH1NaHmx/31/Os/QtStNR0mK6tpcxszgFuDwxB4+ooudStItesrJ5f308UrIB
0wu3PP4ijXdStNO0iW6uZcRIyAleTywA4+prQ82P++v51naXqVpd3Woxwy5a2ufKkzxhtoPHr1FF
xqVpHr9nZNL++mhkdB2wu3PP4irV/dwW+n3M8kgCRRM7YOTgAk0mnXkF1plrcRSAxywo65ODggEV
X0rUrS8n1BIZcm3ujFJnjDbQePXqKNV1K0s5dPWaXBuLtYo8c5Ygnn8jWh5sf99fzrnPAToPC0YL
qP8ASbjv/wBNXrTh1K0k8QXVisv76KCORh2wxbHP4GjXtStdO0ae6uZMRR7dxXk8sAOPqa0PNj/v
r+dZ+halaajpUdzbS5jZ3ALcHIcg8fUUXOpWkWvWNk8v76eOVkA6YXGefxFGu6laado811cy4iQo
CV5PLADj6mtDzY/76/nWdpmpWl3d6jHDLlra58uTPGG2g8evBFLcalaRa/Z2TS/vpoZHQDphduef
xFWb66gt7C4nkkASOJnbBzwASabpt5b3Wl2txFIDHLCjrk4OCARUGl6laXdxqKQy5a2uTFJnjDbQ
ePXqKNV1G1tJdPWWTm4u1hjC85YgkfyrTooooorzm8vNF8QTXt/f+GxJex3q6ZbxzsVZ3wSu8j7o
5PrVuw8M+FdV0eeZvD8EU9vMbeeMszKsikBgDnkZ6GtO88FeEbGynu5dEjZII2kYJuLEAZOBnk8V
h+GND8L6szW0/hq2gk8oXMflSM6mJj8u45+V/Ve1bcngLwqL2Ff7Et+VbnLZ7e9ZHi/Q/B3hzS45
ZNDtmkuJlhiEjOE3dfmIJwMA84rR0fwj4U1XTIb3/hH4ofMGdrMx/EHPI9PapbbwF4VaS4H9iW4x
Jjgt6D3rG8U6P4P8ORrMPDsV3OEJEMZbKrlQWY5+VRnrW7N4C8Ki3kb+xIPuE4Jb0+tFv4B8KtbR
H+xYOUHQt6fWsDTNC8OS64bC78JxWq3TO1qS7FyEHzeYufkzxjnmtu68BeFVaD/iSW5zKByW9D71
Y/4QDwp/0BYPzb/GsHwX4M8OX3hxJ7nSYZJDPOpYluglYDv6AVrp4D8Km+kX+xLfhFOctnv71l+J
PCugabaFrXwrBchUMsskkjLGiL15zy3oO9adh4N8Iajp9vew6JGsdxGsiB9ysARkZGeDS2XgLwq9
sp/sS3HLdCw7n3rE1nSPBum69pmnReH4bmW5uBDKVLYgDdCTnqcHitu98BeFUtHYaJbnkdSx7j3o
vvBnhDT7C4vZtFiMVvE0r7SxOFGTjn2rB8I6R4T8SfanXw7bIqsGSSJ2ZWUgYBJIO71GPxrek8Be
FRfQr/Ylvyjc5bPb3qh4h8MeF9JtYlh8PW81xdP5UKyOyx7sE/O2flGAfxwKk8PeFvCOtaLBex6B
HFuBRkbcMMpwcc8jIOD3FWrfwH4VL3H/ABJIPlkPQtzwPesCzXQYoI9T0/wultqEWrGytYpnKnzA
DgsedvGfWu40PV11mwM/lGKSKV4JkzkLIhwwB7jPQ1o0UUVTk06OTVItQM9wHiQoIllIjIPcr0J5
61yN14Y1gXV61lJZvM2sR6lGJmYLtAwFOB14rW07S7/StKuhcGBpLu5e6lCE4RnYEqueoHqatajp
F3qEvnC5ktphC8SGGdgi7gRuKdCRnIzWV4S0HU9J33DfZI1aMReTCzbZWUnMzcffbv8ASt6Q3n22
HKQ7trY+Y47Vg634cvWEd/azB7i3vVvFjuZ2eMtyNo4+Vfm7elaegaVf6LpYtWaCR2keZzk4DOxY
gewJwKmMFzdw3ludqLKxV2jkZGGQPukdPrXMeIfAS6nE8dvPPFey2ywiVrtysiowI3/3jya6xIbu
104W42OkUW3c8jMxAHUk9TUE2nz38Vmzu8YtysieTcNHu46NjqPasjQ9P8RReJtR1O+h01vtBEe+
KV9yIo+VcYx3OT15reuTeboNyQ/60Ywx64NWA19nlIP++jXKfD99Y/sRlaGzFmJ5/JYSN5hPmtnc
MYH4V0aG8+3SYSHdsXPzHGOaxfGNj4g1PTUtbNNP+ys6tdLNI4LgMCFBA45xz7VvwtqXkR+dHbCX
aN4RmKg98cdKjsjefZl2JDjJ6sfU1yet+BBfaxa3VtNNbyvfC8uFW7cI2B8xUfwt05rq7w3f2Rg6
RbeOjHPUU3UrO81PTLqwfyY1uYXiLqSSoYEZ/WsTw3oeqWOq3N/dNa+atvHZLHEzFSiDhjx9456V
uyG7+2xZSHdtbHzHHas7xLpWparYxhBauIH8xraVj5VwMEbX46c5+oFS+HNP1LStCtrSSaO4ZQW3
Mx+UE5Cj2GcD2FXLY3fmT7Uh/wBZ82WPXArl7zw5rkEQe2axec66dQjEjsFwVICk4610nh3SZNH0
54ppFeaeeS4l2/dVnO4qPUAnjNatFFFFU/Oji1GXzJFTMa43HGetNvrqB7R1WZCTjgMPUVY+123/
AD3j/wC+hVexuYEtFDTIDk8Fvc0SXMBvoWEyYCtk7h7UX1zA9owWZCcjgMPUVY+123/PeP8A76FV
7a5gWW4JmQZkyPmHPAokuYDfwsJkwEbJ3fSpJ7u3NvIBPGSUP8Q9KLe6t1togZ4wQgyNw9KjtbmB
XuCZkGZSRlhzwKg1HVLGOa1gN9bJcSyfuUeQZcgHt3Gay9D1K/XxDeWF3qUV7FFErzvgIIJmwRGn
95duTk88VD8P9U09vD/2Vb2AzxXE5kiEg3IDK2MjtXQpcwC/lbzkwUUA7vrRfXMD2bqsyEnHAYeo
qx9rtv8AnvH/AN9Cq9jcwJaqGmQHLcFh6miS5gN9CwmTAVsncPai+uYHtHVZkJyOAw9RVj7Xbf8A
PeP/AL6FV7a5gWW4JmQZkyPm68CiS5gN9CwmTARsnd9Kknu7cwSATxklT/EPSktrq3W2iBnjBCDI
3D0plrcwLJcEzIMyZHzDngUtxPDLJbrHKjHzRwDnsau0UUUUVUVFfUZdyhv3a9Rn1ov4oxZuRGoP
Hb3FWPJi/wCeaf8AfIqtYRRm0UmNSct29zRJFH9vhHlrgo3GB7UX8UYtHIjUHI7e4qz5MX/PNP8A
vkVWtYozLc5jU4k44HoKJIo/7QhHlrgo3GB7VLPFELeQiNPuH+EelJbRRm2iJjT7g/hHpUdrFGZL
jManEpxwPQUy/tLeR7djBHvEmFfYCyZB5B7VQ0DwpFoEszJqV7eLMSzJcsrDcTktwAc1T8AWtuPD
Syi3iEjXFwGcIMt+9fqe9byRR/2hKPLXHlrxge9F/FGLKQiNQeO3uKs+TF/zzT/vkVWsYozaKTGp
OW7e5olij+3wDy1wVbsPai/ijFm5Eag5Hb3FWfJi/wCeaf8AfIqtaxRmW5zGpxJxwPQUSRR/b4R5
a4KNxge1SzxRC3kIjT7h/hHpSW0UZtYiY0zsH8I9KjtYozJcZjU4l44HoKW6jRXtyqKD5w5A9jVu
iiiiiqLJM2oy+VKI/kXOVznrTb2K6Fo5e4Vhxx5eO4qfyrz/AJ+l/wC/f/16r2UdybVSlwqjJ48v
Pc0SR3X22EG4UttbB8vp0pb2O6Fqxe4VhkceXjuKn8q8/wCfpf8Av3/9eq9tHdGSfbcKCJOf3fU4
FDx3P26IG4XdsbB8vp0qSaK7EEhNypG05Hl+31ot4rs28ZFyoGwYHl9OKjto7ovPtuFGJDn931OB
Rcx3QaDdcKcyjH7vocGrAiu883S/9+//AK9cr8P7bVBojStqUbWrTziKAW4BjPmtkls810SR3X26
QC4XdsXJ8v60t7FdC0cvcKw4yPLx3FT+Vef8/S/9+/8A69QWcd0bZStwqjJ48vPc0kkdz9thBuFL
FWwfL6dKW9juhauXuFYZHHl47ip/KvP+fpf+/f8A9eq9vHcmWfbcKCJOf3fXgUSR3X22IG4UttbB
8vp0qWaK7EEhNypG05Hl+31pLeK6NtEVuVA2DA8vpxUdtHdGSfbcKMSc/u+pwKdMk6y25lnDr5o4
CY7Gr9FFFFFUWnjg1GXfu5RcYUn1pt7ewvaOql8nHVCO4qf7fb+r/wDfs/4VXsr2FLVVYvnJ6IfU
0SXsJvYXy+ArA/Ifai9vYXtWUF85HVD6irH2+39X/wC/Z/wqvbXsKyTkl/mkyPkPoKHvYTfRPl8B
GB+Q+1STX0DQSAF8lSPuH0ot76BbeNSXyEA+4fSo7a9hV5yS/wA0hI+Q+gqrquvWNrPaRP57SyOW
jVIGO7aDxnGB+NctoPjB9T8dRG5uLqOO5sW8uyNs6rC28YzkctjOT0B4FaHw/wBbsm0R7FWl86Ce
dnBhbbzK2MNjB/CujS9hF9I+XwUUfcPvRe3sL2jqpfJx1QjuKsfb7f1f/v2f8Kr2V7ClsqkvnJ6I
fU0SXsJvYXy+ArZ+Q+1Le3sL2rqpfJI6ofUVP9vt/V/+/Z/wqvbXsKy3BJf5pMj5D6CiS9hN7E+X
wFYH5D7VLNfQNBIAXyVI+4fSkt76BbaJSXyEA+4fSo7a9hWSckv80mR8h9BTprqKaW3VC2fNB5Uj
sav0UUUUVWj/AOQjN/1zX+tGof8AHlJ+H8xVmq2n/wDHmv1b+Zol/wCQhB/uN/SjUP8Ajzf6r/MV
Zqtaf625/wCuv9BRJ/yEYf8Acb+lS3H/AB7S/wC4f5Ult/x6xf7g/lUdp/rLn/rqf5Ci7JD2+D/y
1H8jQbC2OpDUTEPtSwmESZP3Cc4/MCsTwDn/AIRWP/r5uP8A0c9baf8AIRl/65r/ADNGof8AHlJ+
H8xVmq1h/wAei/7zfzNEv/IQg/3X/pRqH/Hk/wBR/MVZqta/665/66/0FEn/ACEIP9xv6VLP/wAe
8n+4f5Ulr/x6Q/7g/lUdp/rLn/rr/QUXn3rf/rsP5GrNFFFFFUWhMuoy4lkjwi/cOM9abe2pS0dv
tMzYxwW46ip/sbf8/U//AH0P8KgsrYvaqftMy8ngNx1NJJbEXsK/aZjlW53cjpS3tsUtWb7TM3I4
LcdRU/2Nv+fqf/vof4VXtrYtJOPtMwxJjhuvAoe2Ivol+0zco3O7kdKkmtGEEh+0znCngsPT6UW9
ozW8Z+0zjKDgMOOPpTLa2LPOPtMwxIRw3XgUlzbFWg/0mY5lA5bpwamS3DE7b2VipwQHBwfQ1y/w
/wBLddEa6/tK9YSzzgQGQeXHiVvujHFdElsTfSL9pm4RTndz3pb21KWjt9pmbGOC3HUVP9jb/n6n
/wC+h/hUFlbF7ZT9pmXk8Bvc0klsRewr9pmOVbndyOlLe2pS1dvtMzcjgsMdRU/2Nv8An6n/AO+h
/hVe3ti0twPtMwxJjhuvAoktiL2JftM3Ktzu5HSpZrRhBIftU5wp4LD0+lJb2rNbRH7TOMoOAw44
+lR21sWknH2mYYkxw3XgU6aAxS27GeV/3o4c5HQ1foooooqi0rRajLtieTKL93t1pt7cu1o6m2lX
OOSB6j3qf7XJ/wA+k35D/Gq9lcutqoFtK3J5GPU0SXLm9hb7NKCFbjjJ6Ut7cu1qwNtKvI5OPUVP
9rk/59JvyH+NV7a5dZJyLaU5kzxjjgUPcub6Jvs0uQjccZPSpJrpzBIPsswyp5IHp9aLe6cW8Y+y
zHCDkAc8fWo7a5dXnxbSnMhPGOOBVLXNUuIViij0u9curnzowu2IhTjPOfyrlfAEk9pqECSF7uW8
08XE8kShAkm4AiQA8vz1OD7VqfD/AFKY6I1qdLu1SKecrOQuyTMrfd5zxXRpcuL6Rvs0uSijHGR1
pb25d7R1NtKucckD1HvU/wBrk/59JvyH+NQWdy6WygW0rcnkY9TSSXLm9hb7NKCFbjjnpS3ty7Wr
g20q8jkgeoqf7XJ/z6TfkP8AGq9vcuss5FtKcyZ4xxwKJLlzexN9mlBCtxxk9KlmunMEg+yzDKnk
gen1pLe6dbaIfZZjhByAOePrUdtcusk5FtKcyZ4xxwKdNO0ktupgkjHmjlsY6Gr9FFFFFVo/+QjN
/wBc1/rRqH/HlJ+H8xVmq2n/APHmv1b+Zol/5CEH+439KNQ/483+q/zFWarWn+tuf+uv9BRJ/wAh
GH/cb+lS3H/HtL/uH+VJbf8AHrF/uD+VR2n+suf+up/kKLv79v8A9dh/I063sbSzeV7a2ihad98p
jQKXb1OOprC8A/8AIqx/9fNx/wCjnrbT/kIy/wDXNf5mjUP+PKT8P5irNVrD/j0X/eb+Zol/5CEH
+639KNQ/48n+o/mKs1Wtf9dc/wDXX+gok/5CEH+439KluP8Aj3k/3D/Kktf+PSH/AHB/Ko7T/WXP
/XX+govPvW//AF2H8jVmiiiiiqLW8c+oy+YpOI1xyR6029srdLR2VCCMfxH1FT/2fbf3D/32f8ag
srK3e1VmQk5P8R9TSSWVuL2FAhwVYn5j7Ut7ZW6WrMqEEEfxH1FT/wBn239w/wDfZ/xqvbWVu0k4
KH5ZMD5j6Ch7K3F9EgQ4KMT8x9qlnsLdYJCEOQpP3j6fWkt7G3a3jYoclAT8x9PrTLayt2ecFD8s
hA+Y+gpLqyt0aDCH5pQD8x6YNJZvpN/JMlnPHO9u+yUJKTsb0PNc78P9E09NEe+WFhcTzzrI3mtg
gStjjOB+FdGllbm+kTYcBFI+Y+9Le2Vulo7KhBGP4j6ip/7Ptv7h/wC+z/jUFlZW72ysyEnJ/iPq
aSSytxewoEOCrZ+Y+1Le2Vulq7KhBBH8R9RU/wDZ9t/cP/fZ/wAar21lbtLcAoflkwPmPoKJLK3F
9EgQ4KsT8x9qlmsLdYJCEOQpP3j6fWkt7G3a2iYoclAT8x9KjtrK3aScFD8smB8x9BTp7WGGW3aN
SD5oH3iexq/RRRRRVFmmXUZfJjV/kXOWxjrTb2S6No4eBAvGSHz3HtU/mXn/AD7x/wDfz/61V7KS
6FqoSBCMnkvjufaiSS6+2wkwJu2tgb+vT2pb2S6NqweBAMjkPnuPap/MvP8An3j/AO/n/wBaq9tJ
dCSfbAhJk5+focD2oeS6+3REwJu2Ngb/AKe1STSXZgkzbxgbTk+Z7fSi3kuxbx7beMjYMHzPb6VH
bPdB59sCHMhz8/Q4HtVPWptWPkxRadDNBIHEp+0bXHynAUY5JrmPBAuTrKkW4k+zWPkEqSgtfmH7
mT+/Jx972NaHw/n1Y6I0bWEAtVnnMUonyznzWzlccfnXRo919ukIgTdsXI3/AF9qW9kujaOHgQLx
kh89x7VP5l5/z7x/9/P/AK1QWcl0LZQkCEZPJfHc+1JJJdfbYSYE3bWwN/Xp7Ut7JdG1cPAgGRyH
z3HtU/mXn/PvH/38/wDrVXt5LoSz7YEJMnPz9Dge1Ekl19tiJgTdtbA39entUs0l35EmbeMDac/v
Pb6UlvJdi2iC28ZGwYPme30qO2kuhJPtgQkyc/P0OB7U6Z7hpbcSxIi+aOQ+exq/RRRRRVQSImoy
73VcxrjJx60l9NE1m4EqE8cBh6irH2iH/ntH/wB9Cq9jNEtooMqA5PVh6mkkmiN/CfNTARsncPal
vpomtGAlQnI4DD1FWPtEP/PaP/voVWtZohLcZlQZk4+Yegokmi+3wnzUwEbncPapZ54TbyASoTsP
8Q9KS2nhFtEDKgIQfxD0plrNEHuMyoMynHzD0FJdzRF7fEqHEoJ+YehqwJ4O0sfP+0K5nwBe2h8O
CAXUJlS4nLxiQbl/et1Hat5Jov7QlPmpgxrzuHvS380TWcgEqE8cBh6irH2iH/ntH/30Kr2M0S2q
gyoDlurD1NJJNEb+A+amArZO4e1LfTRNZuBKhORwGHqKsfaIf+e0f/fQqtazRCW4JlQZk4+Yegok
miN/CfNTARudw9qlnnhNvIBKmdp/iHpSW08ItYgZUBCD+IelR2s0QkuMyoMy8fMPQUtzLG724SRW
PnDgHPY1coooooqmIo5NRl8xFbEa43DPrSX1vCtm5WFAeOQo9RVj7Lb/APPCP/vkVXsbeFrRS0KE
5PJUepokt4Rfwr5KYKtkbR7UX1vCtoxWFAcjkKPUVY+y2/8Azwj/AO+RVe1t4WluAYUOJMD5RxwK
JLeEX8K+SmCjZG0e1ST20At5CIYwQh/hHpSW9tAbaImGMkoP4R6Uy1t4We4zChxKQMqOOBVG91HS
ItattI8yEXjAzmIKOI1HJb0HPepNM1bRtWnlhtApeLnDRbd6/wB5cj5l9xxWT8P9PsR4d+0izgE0
lxOHkEY3MBK2Mnqa6BLeH+0JV8lMBF42j3ovreFbNysKA8chR6irH2W3/wCeEf8A3yKr2NvC1qpa
FCctyVHqaJLeEX0CiFMFWyNo9qL63hW0crCgORyFHqKsfZbf/nhH/wB8iq9tbwmW4BhQ4kwPlHHA
okt4Rfwr5KYKNkbR7VJPbQCCQiGMEKf4R6UltbQG1iJhjJKDJ2j0plrbwtJcAwocS4GVHHApbmGK
OS3KRop80chcdjVyiiiiiqskE/2lpoZEXcoBDLnpTZre8miMbTRAH0Q/40/Ze/8APaH/AL4P+NRw
295DGI1miwM9UP8AjQ1veNMspmi3ICB8h7/jRNb3k0ZjaaIA46If8ak2Xv8Az2h/74P+NRx295Gz
ss0XztuOUP8AjQbe8aZZTNFuUED5D3/GnPFeujIZosMMH5D/AI0JDeRxqgmiwoAHyH/Gqt1a6wIH
/s+7tY53kDFpoSy478AisLW9I1C48VWt2kCvt0y5jaZIuC5AAUn35xVLwbZ6rNe6ddyWc1mlhpK2
UguoSjF9ynCjuMDrW54c0PWdDgks5dQtJ7UO7whYCrqWcscnPPWtYW94Jml86LcwAPyHt+NLNb3k
0RjaaIA+iH/Gn7L3/ntD/wB8H/GmRW95DGEWaLAJPKH/ABpGt7xpklM0W5AQPkPf8aWa3vJozG00
QBx0Q/40/Ze/89of++D/AI1HHb3kbOwmiy7bj8h/xoa3vGmWUzRblBA+Q9/xpzxXroymaLDDB+Q/
40JDeRxqgmiwoAHyH/Gmx295GzlZovnbccof8aeIJ5HQzyIVRtwCLjmrVFFFFFFFFFFFFFFFFFFF
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF
FFFFFFFFFf/Z

------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image003.gif
Content-Transfer-Encoding: base64
Content-Type: image/gif
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image004.wmz
Content-Transfer-Encoding: base64
Content-Type: image/x-wmz
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image005.gif
Content-Transfer-Encoding: base64
Content-Type: image/gif

R0lGODlhEQAsAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMABAAL
ACUAgwAAAAAAAAoICQcGBwMDAwYFBQwKCwsKCgsJCggHBwkHCAUEBAkICAcGBgECAwECAwRaEAAj
BpFYlhJC/t2XhaJElqeYgl4JrGOLyiqdGZ1Rd7Dr/8CgkEckCoOHQWeAuBGKTUlCoUNwFhhF5tAz
YV0BhgtxcTWiIkFivC4dtBj0O6MoYBbFsCYfOEQAADs=

------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image006.gif
Content-Transfer-Encoding: base64
Content-Type: image/gif

R0lGODlhLAEsAfcAAAAAAAAA/wCAAAD/AMDAwP8AAP///wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAAAAAAALAAAAAAsASwB
AAj+AA0IHEiwoMGDCBMqXMiwocOHECNKnEixosWLGDNq3Mixo8ePIEOKHEmypMmTKFOqXMmypcuX
MGPKnEmzps2bOHPq3Mmzp8+fQIMKHUq0qNGjSJMqXcq0qdOnUKNKnUq1qtWrWLNq3cq1q9evYMOK
HUu2rNmzaNOqXcu2rdu3cOPKnUu3rt27ePPq3asQAEEAgP3yHYwS8EDBAhETXgzSL2LFihlL7vj4
7+TLlA9bxjyTgOfPoEOLHk26tOnQA06rXl0awGfXr0EHBsy6tu3buHPbDrCTwELfCoEnFI6Q+MEB
v5MHT+jXN+TNw5VHX66wgPTi1w8aLxhge03vBMH+DxQvkLwB88ipT19vsLmB55rVY5evvbr5+9kN
iudtHiZ++vrlVxAB6c3HXn0IuQdfYgKG1+B49j1YnoTnIcRbhTr9d2CAAA5YIIIbDsgchrMVFBmH
ITrYoUDWaWjgiyASdCGGObkY440oYvehiCtC2CODP9IIY44FtUihjUQaMKOQNyHJY4o+RrejilBO
GOSJTw6ZJY4sWlklk0luuSSY3x1pJnVTeqkllWvG96WTbBJkHZlxhllnlmPS2dmZbyqXpp5qcnkn
dG0GameUciIqqKKHepknoDHByeiWjdKYpqSGUmoin4WSOSekmIIq0KOQ+sfpoplSeemplWI56KT+
rxr6qahB4kdqqS+Fqut1U+56Jaua1jmrr2/eiqtLuiWrrGepLeusaLPB9qyyBUxrbXen9QZsrLQO
tCOxnboK67ipKjprt52S1x2Fpta6raLfvlsukH26O9C56KKqJ3/s5ipvvkl+CK6+4s4LcJb4Dmzn
haG2W+/DQwr8r3kFH8ytcPhaTC6ZMzbsr70Qc1mgwsG6mS6fGZNc55IeIzsxsCO/3JfM02WsscHG
jdlySypvDGd6PVtZIqH6+mpz0ELmuTNLSKsM9MsLvkczdjbf3O2jS6/U9LvIbR11xVtXvbWSJ2c4
ddEJdQ01oWBPXLXVtoZs09hyE5SazEObjHb+rW83bWzWKlkruG3NDj6atAQgHq3hq1XLeG3YKqst
yGV/+afPyX19tkFvw63QupQ3uXnJBl+Oc+Zsj34v3QbxG/rcqmMenOm7av466dWqzvC/Dlfue9G0
n5k3vb8fauTtd3bM+8d1X2zm5Ui3jbwBxzfPKMvLuzz96e5C/6/0zc/JOtnOB9n73tZz/2f0qos/
tdLZ8xw799Ot//3on9KNdfxMz++5QKvantQE6J38yYxUSDtfpcaHogCmb4AP3M6wXnarBDKveKT7
HwAXSCHwFW+CBPwb/7T2uBKepnAmDM3iUkgAx7HwM5Er4eQieLZ4CdCD6OtS+aoEOhqajYD+Ncxg
qHDIwXsVEUqu82GN/Kcwid1wagnb1u6A+EMlYrBOTnwgEYVoxCNqSXlUXGIYrzipmD0xjCljFfbG
KDo2elFksvvSFst3tFPpzH8K5KIbg/U0ew0PgmS0Uh0pB7890oSBekxRH/tkOxqKjU/7M+SeJEm/
NqnNXeKaI+YeaS8E4vGCOQzlG+3muUy6DYgV/KT2rChK0t0Nk+8xDNFGOaC+HUmElIzUC3c5GhQq
izaeUdxsGOfCx8WQl6GZYSA12CnTiaqRy+wcpnq4TMClBJE7bKaZoNnK1b0ridXs1yrDmUsCwdJk
mpxX7pA3RVZWKo/Z7GYcixM86vwxnXr+qh4GwejODMJznvKsZH2896vp6VOUa+wnt/4pUFrGM0AE
leO23Be6O5ZTmQFl5t7sV9DwNRRPDgXoO0EZ0o8+lEcclejtDAiySCp0YwzVaEm75cBwAYul9fLk
RatIzpd6qaYEYxUI+5TKnYrRpzLNUq86KNSThgeXSO1PrpBJ1V4aboXLKuazjllV1QgAozPFJrwS
maBTnWuaYi2XAAQg1XFmNK1MsqFKIRbFHoHzrQJaq8FiCtcmOlVvXqxritrZUxjpFaYkJSteX5dF
m4IsjR3iZ2FBdNiFJvavJhWppsw418pBdkMJnWyAKuvPy2oWs0nlrGPrNcgDWRSppB3+qVvDykSE
LBJGkcEncFr7okK+dK3WRElfVXfbGMkSsFzk5HpcKloDHDa4JxmuJC/JnuMSD23KnY9OWUla6JpE
ui+lroEcsym+uauoSoyt1fha2+29cj3knaUQbRkcqIZTvZmVSVf3SxpfmgY2iEvcMHGjVdxwlarA
lRxPFxvVhTgTOILJLYWk+TmxAneEgWsvUh8cy+Glc51ITOqdnovha2q4ueGpp94+DCfCMlgg3S2x
cE/8Yu2o+LqaPGiYJMtg9VpwtoqlLRAjWtYe6ZhSocUrfkU8yQZflMgHmSNFXRvkDC45v8eSn1FR
7KOUFjlFU+6tkA9y4Vyyd8uL9XL+lAWEUwMxt5UkNrNpsQxeAwG1PWyW3XZ/F2M5Axm1dQbRncu7
oaFiB72V87EqtezkRhtgqTMDkKG1Y1+0LRmu/uGvpkvjX9Vg1TQFPs2BBZdg/oK1yoAOIrdweNYK
v6vMjm5jrMcMI7l++UWCbV1S4zzrMqGZ1jhq7Jrlk2sZ0bkgfe71IWkM7ICtWjqfNfaxYfxVVJ8W
sX++9rT7qdphryfao0r1pZnta2Vr+2DdxjN1eEu+c1+ZyVg+s7m3XZA+3lM5vPVtm2DN5XjPGd4A
/9mEuBkg5b45TLzu93r/HehmewtMUasPJ/d8o2Qr3Lslabi1Myte4oHNloimbLX+U+1nRl+c3N7a
TsT107dKj3bkGw94bzZN8xNCS4UDDk2oQTPq2pS65rk5NcnnDakPnahib6PmovhdY4cv+9cxD1WB
sFQwEOvaSQlvetSFfm6NXww5rqo6eFxMJItrfeg48XrXjzSAaK3ciN7hMYoUDXXUyvvkTx4RQnSc
5JfjHal3P/vau6d3zgXqtQh5t9r9nW16C37af3JVmPWNbLaifPBH/bvmERT5g+D04M6t9uIBHnin
Y75yacISSyludtM7XrYmf7zMQZZ6w0MIvXQn+o9j7/rZQ2xKJxqWCMdd99M3CejItznOA9PC0PTc
Mz9PPi+5/vqts3FHkZmV0gn+wvTej7701td9vQlNPWN7J+vev7x+1e/7iBHqUy5uffg3D/v+Fb/6
DzV6F9stnNzTf/76An5oJ3tOMnVdhD3EJ34lZ38K2GsGWH7tRm33134ByHDsh03pIRjWsSTdB4Dp
J0AwUTEiuBAjGGmFd2vehoIPJzUbOBCHVYInmIIyqG4xSIMqSH43AYM3KF88iFw9eF02OIMP5xcF
cCGkpYNC+IOAlIQ+2IRAiIM2gYRBOIVQWIVKKIVW+GjvUYShR4VXSIJgaII76IRL6IUzgYVfKIZM
+IRpWIN2AwAFsGRoSIZzyIZ0GIZuSBNut4d82Id++IeAGIiCOIiCKAADIAD+hJiIiriIjNiIfEh9
FPiBKbJWBQAAN0aAFwiJo8dAemUdljiBm6iJmThGhxUAnqiF/zeAvecS7tFhkUExgREusbg3rgKL
1qUilWWKDAJlfzGL6VIw4vFHJSOMd4IYAnaLL2EYzkEo5OEayNWMwoEl+IGM8+KMT0gApMUbcyIY
ahYfyyiLKyIY3ygo4liGjHJcb7cS5DWOgASNz9gXtVOL0nEisaWN8dGNIiIusBiOJlWO+rgplUGG
KaEgzAiP78gcuhJfR6QYekUcF/IpiDFoDvKPCAmMRQYn/hgiAWmH6lghUWOL8liR1AgqCplIglFZ
wvGQ0CGREEKRCZI4/Oj+i4tCjJOykebYEgRpMu54jX1hkxsTYWXjF7EFHDMyK4oBacNhkWUFkymi
jDdJJxmpJTZZMSIhkzlJPCpnGNZojlnpGNGII7MIlGApS86BX75RlOSHlGNYLs2hlOrGjsESlVwy
lXrokQWJkAf5knkZZdFSNFdGAEtyLpFha+2BkX25JnJpJ4mpKXR5hueROLJRG4qDG5OZLAHGGtEn
GjFUYIvTaaRxmboBmp4WmbdRmZL5Gko4kCQik5BCkyAZlGuyVm7XOsSBLycibIdxmEXjlu3BmsPo
m8U4HjRpgaCYHyiZEEmUMbepih7YnJbVeJE4f0NpIV6inMdhfJKocAL+iJ3WZ5YHAUY2gyXp5pzc
yZxP14Dp8pe65iPhaVv4V57wuVfEiZ4G8W5MckdV4yrFlZ2YaD7zmYqw0pDXAT+VyJri0nH8maCl
BZ2hWHlxhDWVmDru2aBEt53vWUnTSR0IJJg/+F4AeqELx6Cj6J3LcSu22aEU+qGRMorDoZ71VR02
WDEcVpwLSELSZxuZeRvPx5nLB0yocaM3Kop1J6A/sn2HEaGABTaXqKDmiW28R54NdZx2lU80QnW/
saRQGp3P+aRNiqEwZzFkB3ds2Da8mKXf95/9SaIhInc65By6+ZQTUqZdqqVOyoAqio1f+lB916Z4
OB/4OKdnKqKUZJ/+NoJ4+0cxfnKn7GehIkakEEN5OtSa0sGSIBqoXBqfYCKlD3Nwk2aGP9Wf9Ak7
W5ahOTUknZqFaqKWoKqijOoranoyIddqapgjqsqkmNpWl1qpLlos9CGreThWgMqiaadpOSo4zyca
O/dfOWcangmk07dgTueogWSkbFJsngomuGmmi4qmo6SpZHRXKAJu17od2RqsE9iq10GqVxSmVCKu
qEom42muFcqtevSqrcSmKsJu43qdlSqsslZNu1o8e5qvq7Um+6mt50qvsUKodpRcnSUoByuvrKqw
AfpVrAOpIpJdS6hJCIqw8yqoG+KtDAZ64UFfiSFhPdKxEruq/5r+Q+q6WBTHcvJxi+nkoSxrq+tn
L/ZKWyFne/C1sRJiszhLpzn7JgH7Vi5XJPMItEEyo6Eac5mWLMXKS8d6Gsl6c5ApG8taG83qrIwj
pPVpsfNDreRidSYiS2JJhveBpSu7itwqsqYHriVzZBP5prrFtre6aHYaIy/rdOw6LnSrKCjbJ3Ka
tzWaYdSxs82Jr7ASZjcyuCdTuP16uCYWHEfbbAPbuFimWxt0sx6bdgrBsGxkqGHSZkFlL39quIB3
WdK6qhh7J6bbKnxCqURLeiQFtx5Lsoxyqs9Ge57btuXWhcCrIjFLKbz7k5xSq58re+2iuMHas1vi
qwWbQ8o7vJj+6h+Xa6ZJGyfSe7ohQ5hDu3sswVZeC5iCc7WhubW60bXlq2CZ97ujAi7WmkGcO36q
O7Egy2Vyu0Pu2rtyU673y7wUi39/Sz/9i7y3E68B7Lb5q3WMyz36Sr8ws8DLK6qzlrkQvEz1axAR
S8Fziq4VtXUaK7vI08GTu7oNTGuvu0n1cm/To7IefL0DrEG6izMmix0EZ20wfMLaOcO+UrwXc8P1
YUrulaIZBcJE9UAUthxEnD5CW8FZisTpsr0bs8TR4Rg0+y9Oq6j+iSybVrXUMi0+KkzMZzjs276s
AbbTGjRmeyixmMOAhrc8fMQ+/CD7e22Bezpw3HVyXLsYRxL+2FTAGpPHzyShNCS5fixOuZpUD2wx
jltELnzIT2t3dQwgGOzIILrBfsrFDyTFN0K6VRa7MafJnMfJy+TJObLCHyXKqEXKDQS/IIrKT1LD
AHO8m0sztGvEFkxOQCxStmw1rqxU4Stj0UVBrNS9MxXMbFK9Mcx4i6wrVCxQyDzKqtbMtuvFJgTG
1oK+jPNpJXTGaCwaaowqZEtv89vKmwPAczxTshxudHPAt+xG6pzIXfzMDSLIxALPwDw6CrzOUFvJ
3GG4EYzOe9TP9PwlqHzJRqNwygwrJnzQneLJoJxqI0zNhvTQuhy8OaTKnlPR5RPJXLbDEF2BKTzL
BCjEHLT+x+8p0hl9nmXTy3SG0lyk0vD2xNbrzHvLQdCLWlZ8MjQdNDZtzX88EtCcSz1NiwbqP1sM
y1nGNMuizY/DzWJMmsGkvi8Ezu07ztyRVm1sbW9syBfXx5aa0yVzx+9JyLUD1gQo1tta0uQjVmi9
TWqdfog81lojII2sMo9sfSCNiXXd1vYc0B6813Pa0OpjyiQd2AMx0dzJyphq2LSSuv68pWTNJhxN
Mo6dyRqWy4Bd2VFCywrzy+xjVJydsIIK0zIl2vezZcw82XV61yUaa9Nc2CfW2iO9y5SGZrP92DQG
vlBM2TZaGlD9QlJNVd68X1idfNRXzu13zrz9a/Ns14j9+50Hrc+jPWvR3dmwvZ7gZd2r7YBCrchk
ndcyM9DPDd6ujdPbvdg3jSHmrdl1h9HaPd3h1t6+4dHnnYrybdomd9kvg9+Z1Yp9bassPd+VG4FC
LdNO5ZQ/HTsFzt/2h9pNo+CatY6AlI7NHNTp3dR3vdOYetQhdZUXrn4aftvfEc0AB+JebZfoxH5L
PbQwMdxdVdzdHBs2XtVlHM7KzRkZYZUtzuNAThGNGeRE/hBDXuRILobDmeRM3uRO/uRQHuVSPuVU
XuVWfuVYnuVavuVc3uVe/uVgHuZiPuZkXuZmfuZonuZqvuZs3uZu/uZwHudyPud0Xud2fud4ruYB
AQA7

------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image007.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image008.png
Content-Transfer-Encoding: base64
Content-Type: image/png
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==

------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image009.jpg
Content-Transfer-Encoding: base64
Content-Type: image/jpeg
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image010.wmz
Content-Transfer-Encoding: base64
Content-Type: image/x-wmz
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image011.gif
Content-Transfer-Encoding: base64
Content-Type: image/gif

R0lGODlhEwATAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAgAN
AA4AgwAAAAAAAAsJCggHBwcGBgoICQUEBAwKCwkICAkHCAECAwECAwECAwECAwECAwECAwQoEMg5
iaAYCJKx7ZMwUEFpnmZWjKBkHC2wxoDRoXhJ2TGC0LxWotCKAAA7

------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image012.wmz
Content-Transfer-Encoding: base64
Content-Type: image/x-wmz
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image013.gif
Content-Transfer-Encoding: base64
Content-Type: image/gif
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image014.wmz
Content-Transfer-Encoding: base64
Content-Type: image/x-wmz
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image015.gif
Content-Transfer-Encoding: base64
Content-Type: image/gif

R0lGODlhFAAxAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAMAAwAN
ACsAgwAAAAAAAAUEBAkICAgHBwYFBQsJCgMDAwcGBwsKCgkHCAwKCwoICQcGBgECAwECAwSLEEgw
RBBjahJ6LxpgHIY0dNmEJNp5aEq4dGEdvLUWEPlkBKweAIEQig4LY4FhVPCEjGcv0QiVJolYqyhJ
HDxgpqQABieN6LR6zZ6U37S2utJBXDXk8h3QGARHF0Y/AWgBIEIzezV9UBYNQSFlSDkLDBY7SjeC
cUKBRgEpPRV4BwRBAwWQFJcHCGISEQA7

------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/image016.gif
Content-Transfer-Encoding: base64
Content-Type: image/gif
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------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/oledata.mso
Content-Transfer-Encoding: base64
Content-Type: application/x-mso
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=

------=_NextPart_01C90D13.82D38610
Content-Location: file:///C:/AAFB9E43/M117Lesson4.2-4.4doc_files/filelist.xml
Content-Transfer-Encoding: quoted-printable
Content-Type: text/xml; charset="utf-8"

<xml xmlns:o=3D"urn:schemas-microsoft-com:office:office">
 <o:MainFile HRef=3D"../M117Lesson4.2-4.4doc.htm"/>
 <o:File HRef=3D"image001.gif"/>
 <o:File HRef=3D"image002.jpg"/>
 <o:File HRef=3D"image003.gif"/>
 <o:File HRef=3D"image004.wmz"/>
 <o:File HRef=3D"image005.gif"/>
 <o:File HRef=3D"image006.gif"/>
 <o:File HRef=3D"image007.jpg"/>
 <o:File HRef=3D"image008.png"/>
 <o:File HRef=3D"image009.jpg"/>
 <o:File HRef=3D"image010.wmz"/>
 <o:File HRef=3D"image011.gif"/>
 <o:File HRef=3D"image012.wmz"/>
 <o:File HRef=3D"image013.gif"/>
 <o:File HRef=3D"image014.wmz"/>
 <o:File HRef=3D"image015.gif"/>
 <o:File HRef=3D"image016.gif"/>
 <o:File HRef=3D"oledata.mso"/>
 <o:File HRef=3D"filelist.xml"/>
</xml>
------=_NextPart_01C90D13.82D38610--

