Develop the estimated regression equation

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The Wall Street Journal conducted a study of basketball spending at top colleges. A portion of the data showing the revenue ($ millions), percentage of wins, and the coach's salary ($ millions) for 39 of the country's top basketball programs follows (The Wall Street Journal, March 11-12, 2006).

School Revenue %Wins Salary

Alabama 6.5 61 1.00

Arizona 16.6 63 0.70

Arkansas 11.1 72 0.80

Boston College 3.4 80 0.53

California 6.0 68 0.85

Cincinnati 5.7 61 0.18

Duke 12.4 90 1.40

Florida 6.5 80 1.70

Florida State 6.8 68 0.74

Gonzaga 2.5 90 0.50

Illinois 11.3 83 0.70

Indiana 11.9 63 0.78

Iowa 10.5 73 0.80

Kansas 11.8 76 1.00

LSU 4.6 76 0.72

Marquette 5.8 67 1.10

Memphis 5.6 90 1.20

Michigan State 11.0 68 1.60

N.C. State 11.4 72 0.90

Nevada 3.3 83 0.26

Northern Iowa 1.2 72 0.18

Ohio State 11.4 85 0.83

Oklahoma 6.2 74 1.00

Pittsburg 7.8 79 0.49

San Diego State 2.6 73 0.36

Southern Illinois 1.2 69 0.21

Syracuse 12.4 66 0.38

Tennessee 5.4 78 0.80

Texas 12.0 83 1.30

Texas A&M 6.5 74 0.63

UAB 1.9 82 0.60

UCLA 7.1 81 0.91

Uconn 7.9 90 1.50

UNC 15.0 78 1.40

Villanova 4.2 89 0.51

Washington 5.0 83 0.89

West Virginia 4.9 67 0.70

Wichita State 3.1 75 0.41

Wisconsin 12.0 66 0.70

a. Develop the estimated regression equation that can be used to predict the coach's salary given the revenue generated by the program and the percentage of wins.

b. Use the F test to determine the overall significance of the relationship. What is your conclusion at the .05 level of significance?

c. Use the t test to determine the significance of each independent variable. What is your conclusion at the .05 level of significance?

Reference no: EM132483729

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