In: Statistics and Probability
Using the existing regression equation, what would you predict the revenue of a team to be if the coach’s salary is .5 million and the winning percentage is 30 percent? Select one: a. 12 Million b. 14.8 Million c. 15.0 Million d. 14.2 Million e. Cannot be determined from the data.
| 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 | 
Answer: a. 12 Million
Explanation: The regression equation is defined as,

where Y = Revenue, X1 = %Wind and X2 = Salary
Now, the regression analysis is done in excel by following steps
Step 1: Write the data values in excel. The screenshot is shown below,

Step 2: DATA > Data Analysis > Regression > OK. The screenshot is shown below,

Step 3: Select Input Y Range: 'Revenue' column, Input X Range: '%Wins and Salary' column then OK. The screenshot is shown below,

The result is obtained. The screenshot is shown below,

The regression equation is,

For X1 = 30 and X2 = 0.5

