K300 Project 2    Linear Regression

Date Due: Mon 10/11 or Thur 10/7                Value:  25 points [5 point penalty for each class late]

State's SAT Averages:  SAT Average versus Percent Taking Test

The August 31, 1992, issue of The Harrisburg Evening News lists the average SAT score for each of the fifty states and the percentage of high school seniors in the state who take the SAT test as indicated in the table below.
 
   State Average
  SAT
  % taking State Average
  SAT
  % taking State Average
  SAT
  % taking
Alabama     996       8 Maine     882      66 Oregon    925    55
Alaska     908      42 Maryland     907      66 Pennsylvania    877    68
Arizona     933      27 Massachusetts     902      80 Rhode Island    881    70
Arkansas     990       6 Michigan     987      11 South Carolina    831    59
California     900      46 Minnesota   1053      10 South Dakota   1040     6
Colorado     960      29 Mississippi   1004       4 Tennessee   1013    13
Connecticut     900      79 Missouri   1004      11 Texas    876    44
Delaware     895      66 Montana     988      24 Utah   1041     5
Florida     884      50 Nebraska   1018      11 Vermont    897    69
Georgia     842      65 Nevada     922      27 Virginia    893    63
Hawaii     878      56 New Hampshire     923      76 Washington    916    50
Idaho     963      17 New Jersey     891      75 West Virginia    924    17
Illinois    1010      15 New Mexico     996      12 Wisconsin  1029    11
Indiana     868      58 New York     882      75 Wyoming   978    13
Iowa    1096       5 North Carolina     855      57
Kansas    1033      10 North Dakota   1068       6
Kentucky     988      11 Ohio     951      23
Louisiana     991        9 Oklahoma   1007       9
 
I.  Predict:  Answer the following WITHOUT studying the data - use only your intuition.
    a)  Do you think there is a relationship between a states average SAT score and the % of the seniors who take the test?
    b)  If you think there is a relationship is it positive or negative?

II.  Analyze the relationship
    a)  Use your calculator to draw a scatter plot of the SAT score (x) versus the % (y), and make a rough sketch of the plot by hand.
    b)  Use your calculator to find the Correlation Coefficient r.
    c)  Use your calculator to find the regression line   y = ax + b
    d)  Is the linear relationship significant?  Why?
    e)  Predict the percent taking the SAT if the SAT average score is 1000.

Teaching Evaluations    Class size versus Course Evaluations

Investigate whether there seems to be an association between the number of students in a class and the students' average rate of the the instructor on the course evaluation.  The following table lists these variables for 25 courses taught by an instructor over a six year period.  The students' ratings of the instructor are on a scale of 1 to 9.
 
Course Number of
Students
Average
Rating
Course Number of
Students
Average
Rating
Course Number of
Students
Average
Ratings
   1      11    6.7    10      24    5.3    19      10    8.5
   2      12    5.9    11      20    6.7    20      24     7.8
   3      21    6.8    12      24    7.8    21       5    7.8
   4      32    5.3    13      20    5.7    22      23    7.3
   5      23    5.2    14      17    6.5    23      12    7.3
   6      13    7.2    15      23    6.4    24      21    7.0
   7      20    5.0    16      17    6.4    25       8    7.9
   8      20    5.5    17      13    7.6  
   9      8    6.5    18      20    6.9

I.  Predict:  Answer the following WITHOUT studying the data - use only your intuition.
    a)  Do you think there is a relationship between class size and the student's average rate of an instructor.
    b)  If you think there is a relationship is it positive or negative?

II.  Analyze the relationship
    a)  Use your calculator to draw a scatter plot of the class size (x) versus evaluation (y), and make a rough sketch of the plot by hand.
    b)  Use your calculator to find the Correlation Coefficient r.
    c)  Use your calculator to find the regression line   y = ax + b
    d)  Is the linear relationship significant?  Why?
    e)  Predict:
            i)  the average evaluation for a class size of 25.
            ii)  the average evaluation for a class size of 50.
            iii)  Are the above two predictions equally dependable?  Discuss?