Statistical Prediction
Adjusted R-squared is a statistical measure that provides an adjustment to the R-squared value by taking into account the number of predictors in a regression model. It helps to determine how well the independent variables explain the variability of the dependent variable, while also penalizing for adding more predictors that do not improve the model significantly. This makes it particularly useful in comparing models with different numbers of predictors and ensures that model selection is based on meaningful improvements in fit.
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