Question
Why can adjusted R² be more informative than ordinary R² when comparing regression models with different numbers of predictors?
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Correct Answer: B. It penalizes adding predictors that provide little improvement
Explanation:
Ordinary R² cannot decrease when predictors are added, even if they are unhelpful. Adjusted R² accounts for model size and sample size when assessing improvement.
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