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Why R-Squared Lies to You When You Add Predictors
Adjusted R-squared is the correction that penalizes each new variable for not pulling its weight. Use it to compare nested models instead of chasing raw R².
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The R-squared number your regression tool hands you is not the answer
You ran a regression. The tool handed back a tidy block of numbers: a slope,…