Question
A model using ten predictors has a lower AIC than a model using three predictors, but each model was fit after dropping a different set of rows with missing values. What is the concern?
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A model using ten predictors has a lower AIC than a model using three predictors, but each model was fit after dropping a different set of rows with missing values. What is the concern?
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