One reason for examining the adjusted R-square value in a multiple regression analysis is that the R- square value will increase just by adding additional independent variables to the model, whereas the adjusted R-square accounts for the relationship between the number of independent variables and the sample size and may actually decline if inappropriate independent variables are included in the model.

Question

Quizplus · Accepted Answer

The adjusted R-square compensates for the addition of variables not relevant to the model, providing a more accurate measure of the model's explanatory power, unlike the R-square which can increase with the mere addition of more variables, regardless of their relevance.

One Reason for Examining the Adjusted R-Square Value in a Multiple