The primary difference between r² and the adjusted r²is that A)the adjusted r² accounts for the total number of variables in the regression model. B)the adjusted r² accounts for the number of independent variables in the regression model. C)the adjusted r² accounts for the number of dependent variables in the regression model. D)the adjusted r² accounts for multicollinearity. E)None of the above

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The adjusted r² is calculated by taking into account the number of independent variables in the regression model, whereas the regular r² does not. This is important because adding more independent variables to a regression model can increase the r² simply due to chance, even if those variables do not actually have a significant impact on the dependent variable. The adjusted r² provides a more accurate measure of the strength of the relationship between the independent variables and the dependent variable, by adjusting for the number of independent variables included in the model.

The Primary Difference Between R2 and the Adjusted R2 is

The Primary Difference Between R² and the Adjusted R²is