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A model's results show increasing explanatory value as additional independent variables are added to the model. Which of the following is the most appropriate statistic?
Suggested Answer: A
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Adjusted R accounts for the number of predictors in the model, only increasing when a new independent variable adds genuine explanatory power beyond what random chance would predict. In contrast, plain R will always rise (or stay the same) as you add more variables, regardless of their true relevance.
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