# Question : Fit a model to these data using only X and Xz as the regressors. a. Test for significance of regression. b. Calculate R and Radi? How do these quantities compare to the values computed for the model in Q1, which included an additional regressor (x1)? c. Calculate a 95% CI on B2. Also find a 95% CI on the mean number of games won by a team when X2 = 56.0 and x3 = 2100. Compare the lengths of these Cls to the lengths of the corresponding Cis from Q1. d. What conclusions can you draw from this problem about the consequences of omitting an important regressor from a model?

DFESKV The Asker · Probability and Statistics

Transcribed Image Text: : Fit a model to these data using only X and Xz as the regressors. a. Test for significance of regression. b. Calculate R and Radi? How do these quantities compare to the values computed for the model in Q1, which included an additional regressor (x1)? c. Calculate a 95% CI on B2. Also find a 95% CI on the mean number of games won by a team when X2 = 56.0 and x3 = 2100. Compare the lengths of these Cls to the lengths of the corresponding Cis from Q1. d. What conclusions can you draw from this problem about the consequences of omitting an important regressor from a model?
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Transcribed Image Text: : Fit a model to these data using only X and Xz as the regressors. a. Test for significance of regression. b. Calculate R and Radi? How do these quantities compare to the values computed for the model in Q1, which included an additional regressor (x1)? c. Calculate a 95% CI on B2. Also find a 95% CI on the mean number of games won by a team when X2 = 56.0 and x3 = 2100. Compare the lengths of these Cls to the lengths of the corresponding Cis from Q1. d. What conclusions can you draw from this problem about the consequences of omitting an important regressor from a model?