Statistical Inference
Adjusted r-squared is a statistical measure that provides an adjusted version of r-squared, reflecting the proportion of the variance for a dependent variable that's explained by independent variables in a regression model. Unlike regular r-squared, adjusted r-squared accounts for the number of predictors in the model, making it useful for comparing models with different numbers of predictors and ensuring that adding more variables doesn't artificially inflate the goodness-of-fit.
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