Some statistical packages print a second statistic, called the adjusted coefficient of determination, which has been adjusted for the degrees of freedom to take into account the sample size and the number of predictor variables.

Question

Some statistical packages print a second  statistic, called the adjusted coefficient of determination, which has been adjusted for the degrees of freedom to take into account the sample size and the number of predictor variables.

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The adjusted coefficient of determination is a commonly used statistic that adjusts the coefficient of determination (R-squared) to take into account the number of predictor variables and the sample size. This adjustment accounts for the fact that adding more predictor variables to a model will generally increase the R-squared value, even if the additional variables are not actually improving the model's fit. The adjusted coefficient of determination is a more conservative estimate of the true explanatory power of the model, and is commonly reported in statistical analysis.

Some Statistical Packages Print a Second Statistic, Called the Adjusted