A basketball league would like to develop a multiple regression model that would predict the number of wins for a team during the season. The following table shows the variance inflation factors for the independent variables turnovers per game (TO), rebounds per game (REB), assists per game (ASSISTS), and steals per game (STEALS). Which one of the following statements is true? Click the icon to view the Excel output. i Excel Output - X O A. To eliminate multicollinearity, the variables TO and REB should be removed from this model. O B. To eliminate multicollinearity, the variable STEALS should be removed from this model. O C. There is no multicollinearity present in this multiple regression model. O D. To eliminate multicollinearity, the variable TO should be removed from this model. Regression Analysis Regression Analysis TO and all other X REB and all other X Regression Statistics Regression Statistics Multiple R 0.717469 Multiple R 0.719761 R Square 0.514762 R Square 0.518057 Adjusted R Square 0.32991 Adjusted R Square 0.334459 Standard Error 0.825262 Standard Error 1.349789 Observations 30 Observations 30 VIF 2.060846 VIF 2.074932 Regression Analysis Regression Analysis ASSISTS and all other x STEALS and all other x Regression Statistics Regression Statistics Multiple R 0.664139 Multiple R 0.488714 R Square 0.441081 R Square 0.238841 Adjusted R Square 0.22816 Adjusted R Square -0.05112 Standard Error 1.20591 Standard Error 0.798013 Observations 30 Observations 30 VIF 1.789169 VIF 1.313786A basketball league would like to develop a multiple regression model that would predict the number of wins for a team during the season. The following independent variables were considered for the model: points scored per game (X1), turnovers per game (X2), rebounds per game (X3), and steals per game (X4). The following table shows the results of a best subsets regression procedure. What is the set of independent variables that would be the most appropriate to predict wins per season? Click the icon to view the Excel output. i Excel Output. X O A. turnovers per game and steals per game. O B. turnovers per game and rebounds per game. P O C. points scored per game, turnovers per game, rebounds per game, and steals per game. Best Subsets Analysis O D. points scored per game and rebounds per game. Intermediate Calculations R2T 0.825376 1 - R2T 0.174624 30 5 n - T 25 Model Cp k+1 R Square Adj. R Square Std. Error X1 4.617778 2 0.786136 0.778498397 6.250749 X2 116.7184 2 0.003119 -0.032483625 13.49538 X3 94.48911 2 0. 15839 0.128332167 12.39993 X4 106.7878 0.072484 0.039358365 13.0174 X1X2 6.568686 0.786479 0.770662935 6.360346 X1X3 1.800428 0.819785 0.806436088 5.843268 X1X4 5.845227 0.791533 0.776090582 6.284631 X2X3 94.73772 0. 170623 0.109187729 12.53536 X2X4 108.3572 0.075491 0.007009379 13.23476 X3X4 89.6487 we 0.20617 0.147367344 12 26379 X1X2X3 3.489187 0.821959 0.801416175 5.918553 X1X2X4 7.793853 4 0.791891 0.767878931 6.398835 X1X3X4 3.306165 4 0.823238 0.802842077 5.897266 X2X3X4 90.04535 4 0.217369 0.12706535 12.40893 X1X2X3X4 5 0.825376 0.797436477 5.977564
