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The value of R square would not decrease when more variables are added to the model. As a result, there is always a temptation to add more variables in the model, because of which problem can arise therefore in that case Adjusted R2 is used as a measure.
Simply compare the adjusted R-squared values to find out! The adjusted R-squared is a modified version of R-squared that has been adjusted for the number of predictors in the model. The adjusted R-squared increases only if the new term improves the model more than would be expected by chance.onsequently, you donât want to include more terms in the model than necessary. (Read an example of using Minitabâs Best Subsets Regression .). Finally, a different use for the adjusted R-squared is that it provides an unbiased estimate of the population R-squared.