The R2 statistic can decrease when a new regressor variable is added to a multiple linear regression model. A) True B) False
The adjusted R2 statistic can decrease when a new regressor variable is added to a multiple linear regression model. A) True B) False
Cook’s distance is a measure of influence on the regression model for the individual observation in a sample. A) True B) False
1) False because every time predictor is added to a model, the R-squared increases, even if due to chance alone. It never decreases.
2) True because the adjusted R-squared increases only if the new term improves the model more than would be expected by chance. It decreases when a predictor improves the model by less than expected by chance.
3) True because In statistics, Cook's distance is a commonly used estimate of the influence of a data point when performing a least-squares regression analysis.
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