You are employed by the Indiana Pacers to model attendance at their regular season basketball games. Paid attendance is your dependent variable, and you employ a variety of independent variables: the Pacers' current winning percentage (WINPCT), their opponents current winning percentage (VISPCT), the number of all-star votes received by the visiting team, in millions (ALLSTAR), the fraction of minutes played by foreign players on the visiting team (FOREIGN), and the number of home games for the Pacers in the next week (NEXTWEEK). Your regression output is presented below. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 164 ANOVA df SS MS Regression 46772032 9354406 Residual 95614595 605155.7 Total 142386627 Coefficients Standard Error t Stat Intercept 12300.869 357.106 34.446 WINPCT 1966.862 580.215 3.390 VISPCT 1477.604 359.496 4.110 ALLSTAR 769.433 112.472 6.841 FOREIGN -503.472 NEXTWEEK -150.563 60.396 -2.493 You included the fraction of minutes played by foreign players on the visiting team (FOREIGN) because one of the Pacers executives believed that foreign players decrease attendance. How would you respond to the executives claim?
You included the fraction of minutes played by foreign players on the visiting team (FOREIGN) because one of the Pacers executives believed that foreign players decrease attendance. How would you respond to the executives claim?
Select one:
a. "You are correct: a team composed entirely of foreign players would draw 503 fewer fans than a team composed entirely of domestic players."
b. "You are correct: a team composed entirely of foreign players would draw on average 503 fewer fans than a team composed entirely of domestic players."
c. "You are incorrect: my model proves that the percentage of foreign players has no effect on attendance."
d. "You are incorrect: foreign players actually increase attendance."
e. "You may or may not be correct: we have insufficient evidence in this model that foreign players decrease attendance." Clear my choice