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

True/False

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.