3. A Ross MAP team is trying to estimate the revenues of major-league baseball teams during the regular season using a regression model. Currently, the independent variables include stadium capacity, the number of weekend games, the number of night games, and the number of Wins (out of 162 regular season games). One of your team members suggests that the model also should include the number of losses as it provides additional explanatory power. Assume that ties are not possible; so every game results in exactly one team winning and the other team losing. Which of the following statements is the most likely conclusion of the new regression model?

ANOVA df SS MS F Significance F Regression 4 13754.6 Residual 127 2836.6 Total 131 16591.3 Figure 1: Partial Regression Output(a) R2 will increase, adjusted R2 will decrease, and 5mm will decrease. (b) R2 and adjusted R2 will increase, and sewer will decrease. (0) R2, adjusted R2, and senor will increase. ) (d We cannot trust the regression output as some variables are highly correlated, resulting in multicollinearity