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? (a) R2 will increase, adjusted R2 will decrease, and serror will decrease. (b) R2 and adjusted R2 will increase, and serror will decrease. (c) R2, adjusted R2, and serror will increase. (d) We cannot trust the regression output as some variables are highly correlated, resulting in multicollinearity.

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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?
(a) R2 will increase, adjusted R2 will decrease, and Serror will decrease.
(b) R2 and adjusted R2 will increase, and serror will decrease.
(c) R, adjusted R2, and Serror will increase.
(d) We cannot trust the regression output as some variables are highly correlated, resulting in
multicollinearity.
Answer to Question 3:
Transcribed Image Text: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? (a) R2 will increase, adjusted R2 will decrease, and Serror will decrease. (b) R2 and adjusted R2 will increase, and serror will decrease. (c) R, adjusted R2, and Serror will increase. (d) We cannot trust the regression output as some variables are highly correlated, resulting in multicollinearity. Answer to Question 3:
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