Regression Analysis Alumni donations are an important source of revenue for colleges and universities in the USA. If administrators could determine the factors that could lead to increases in the percentage of alumni who make a donation, they might be able to implement policies that could lead to increased revenues. Research shows that students who are more satisfied with their contact with teachers are more likely to graduate. As a result, one might suspect that smaller class sizes and lower student/faculty ratios might lead to a higher percentage of alumni who make a donation. The following table (1) shows data for 48 national universities. The graduation rate column is the percentage of students who initially enrolled at the university and graduated. The % of classes under 20 column shows the percentages of classes with fewer than 20 students that are offered. The student/faculty ratio column is the number of students enrolled divided by the total number of faculty. Finally, the alumni giving rate column is the percentage of alumni who made a donation to the university.   University State Graduation Rate % of Classes Under 20 Student-Faculty Ratio Alumni Giving Rate Boston College MA 85 39 13 25 Brandeis University MA 79 68 8 33 Brown University RI 93 60 8 40 California Institute of Technology CA 85 65 3 46 Carnegie Mellon University PA 75 67 10 28 Case Western Reserve Univ. OH 72 52 8 31 College of William and Mary VA 89 45 12 27 Columbia University NY 90 69 7 31 Cornell University NY 91 72 13 35 Dartmouth College NH 94 61 10 53 Duke University NC 92 68 8 45 Emory University GA 84 65 7 37 Harvard University MA 97 73 8 46 Johns Hopkins University MD 89 64 9 27 Lehigh University PA 81 55 11 40 Massachusetts Inst. of Technology MA 92 65 6 44 New York University NY 72 63 13 13 Northwestern University IL 90 66 8 30 Pennsylvania State Univ. PA 80 32 19 21 Princeton University NJ 95 68 5 67 Rice University TX 92 62 8 40 Stanford University CA 92 69 7 34 Tufts University MA 87 67 9 29 Tulane University LA 72 56 12 17 U. of California–Berkeley CA 83 58 17 18 U. of California–Davis CA 74 32 19 7 U. of California–Irvine CA 74 42 20 9 U. of California–LosAngeles CA 78 41 18 13 U. of California–SanDiego CA 80 48 19 8 U. of California–Santa Barbara CA 70 45 20 12 U. of Chicago IL 84 65 4 36 U. of Florida FL 67 31 23 19 U. of Illinois–UrbanaChampaign IL 77 29 15 23 U. of Michigan–AnnArbor MI 83 51 15 13 U. of NorthCarolina–Chapel Hill NC 82 40 16 26 U. of NotreDame IN 94 53 13 49 U. of Pennsylvania PA 90 65 7 41 U. of Rochester NY 76 63 10 23 U. of Southern California CA 70 53 13 22 U. of Texas–Austin TX 66 39 21 13 U. of Virginia VA 92 44 13 28 U. of Washington WA 70 37 12 12 U. of Wisconsin–Madison WI 73 37 13 13 Vanderbilt University TN 82 68 9 31 Wake Forest University NC 82 59 11 38 Washington University–St. Louis MO 86 73 7 33 Yale University CT 94 77 7 50   a) Use methods of descriptive statistics to summarise the variables “alumni giving rate” and“graduation rate”  b) Conduct the correlation analysis among all the variables, and discuss your findings  c) Develop an estimated simple regression model that can be used to predict the alumni giving rate, given the graduation rate. Discuss your findings.  d) Develop an estimated multiple regression model that could be used to predict the Alumni giving rate using Graduation Rate, % of Classes Under 20, and Student/Faculty Ratio as independent variables. Discuss your findings. What is the value of R-squared? Properly interpret its meaning. e) Based on the results in part (c) and (d), do you believe another model may be more appropriate? Estimate this model, and discuss your results. . f) What conclusion and recommendations can you derive from your analysis? What universities are achieving a substantially higher alumni giving rate than would be expected, given their graduation rate, % of classes under 20, and student/faculty ratio? What universities are achieving substantially lower alumni giving rate than would be expected, given their graduation rate, % of classes under 20, and student/faculty ratio? What other independent variables could be included in the model?

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Regression Analysis

Alumni donations are an important source of revenue for colleges and universities in the USA. If administrators could determine the factors that could lead to increases in the percentage of alumni who make a donation, they might be able to implement policies that could lead to increased revenues. Research shows that students who are more satisfied with their contact with teachers are more likely to graduate. As a result, one might suspect that smaller class sizes and lower student/faculty ratios might lead to a higher percentage of alumni who make a donation. The following table (1) shows data for 48 national universities. The graduation rate column is the percentage of students who initially enrolled at the university and graduated. The % of classes under 20 column shows the percentages of classes with fewer than 20 students that are offered. The student/faculty ratio column is the number of students enrolled divided by the total number of faculty. Finally, the alumni giving rate column is the percentage of alumni who made a donation to the university.

 

University State Graduation Rate % of Classes Under 20 Student-Faculty Ratio Alumni Giving Rate
Boston College MA 85 39 13 25
Brandeis University MA 79 68 8 33
Brown University RI 93 60 8 40
California Institute of Technology CA 85 65 3 46
Carnegie Mellon University PA 75 67 10 28
Case Western Reserve Univ. OH 72 52 8 31
College of William and Mary VA 89 45 12 27
Columbia University NY 90 69 7 31
Cornell University NY 91 72 13 35
Dartmouth College NH 94 61 10 53
Duke University NC 92 68 8 45
Emory University GA 84 65 7 37
Harvard University MA 97 73 8 46
Johns Hopkins University MD 89 64 9 27
Lehigh University PA 81 55 11 40
Massachusetts Inst. of Technology MA 92 65 6 44
New York University NY 72 63 13 13
Northwestern University IL 90 66 8 30
Pennsylvania State Univ. PA 80 32 19 21
Princeton University NJ 95 68 5 67
Rice University TX 92 62 8 40
Stanford University CA 92 69 7 34
Tufts University MA 87 67 9 29
Tulane University LA 72 56 12 17
U. of California–Berkeley CA 83 58 17 18
U. of California–Davis CA 74 32 19 7
U. of California–Irvine CA 74 42 20 9
U. of California–LosAngeles CA 78 41 18 13
U. of California–SanDiego CA 80 48 19 8
U. of California–Santa Barbara CA 70 45 20 12
U. of Chicago IL 84 65 4 36
U. of Florida FL 67 31 23 19
U. of Illinois–UrbanaChampaign IL 77 29 15 23
U. of Michigan–AnnArbor MI 83 51 15 13
U. of NorthCarolina–Chapel Hill NC 82 40 16 26
U. of NotreDame IN 94 53 13 49
U. of Pennsylvania PA 90 65 7 41
U. of Rochester NY 76 63 10 23
U. of Southern California CA 70 53 13 22
U. of Texas–Austin TX 66 39 21 13
U. of Virginia VA 92 44 13 28
U. of Washington WA 70 37 12 12
U. of Wisconsin–Madison WI 73 37 13 13
Vanderbilt University TN 82 68 9 31
Wake Forest University NC 82 59 11 38
Washington University–St. Louis MO 86 73 7 33
Yale University CT 94 77 7 50

 

a) Use methods of descriptive statistics to summarise the variables “alumni giving rate” and“graduation rate” 
b) Conduct the correlation analysis among all the variables, and discuss your findings 
c) Develop an estimated simple regression model that can be used to predict the alumni giving rate, given the graduation rate. Discuss your findings. 

d) Develop an estimated multiple regression model that could be used to predict the Alumni giving rate using Graduation Rate, % of Classes Under 20, and Student/Faculty Ratio as independent variables. Discuss your findings. What is the value of R-squared? Properly interpret its meaning.
e) Based on the results in part (c) and (d), do you believe another model may be more appropriate? Estimate this model, and discuss your results. .
f) What conclusion and recommendations can you derive from your analysis? What universities are achieving a substantially higher alumni giving rate than would be expected, given their graduation rate, % of classes under 20, and student/faculty ratio? What universities are achieving substantially lower alumni giving rate than would be expected, given their graduation rate, % of classes under 20, and student/faculty ratio? What other independent variables could be included in the model?

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