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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.
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