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Topic:
Model Fit and Nested Comparisons
Why Simple Regression R-Squared Is Squared Correlation
Why Better In-Sample Fit Does Not Guarantee Usefulness
When R-Squared and Adjusted R-Squared Disagree
Why a One-Restriction F-Test Equals T Squared
Why Adding Predictors Cannot Lower R-Squared
Total Sum of Squares Around the Mean
The Logic of the Partial F-Test
Testing Added Polynomial Terms
Testing a Block of Coefficients
Residual Sum-of-Squares Reduction in Nested Models
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