When comparing models with similar adjusted R2 values when using best subsets regression, choose the one with the higher number of independent variables.

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Quizplus · Accepted Answer

When comparing models with similar adjusted R^2 values, it's generally better to choose the model with fewer independent variables due to the principle of parsimony, which suggests that among models with similar explanatory power, the simpler model is preferred.

When Comparing Models with Similar Adjusted R2 Values When Using