In a multiple regression model, the adjusted R-square value measures the explained variation in the dependent variable after taking into account the relationship between the sample size and the number of independent variables in the model.

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The adjusted R-square value adjusts the R-square value for the number of independent variables in the model relative to the number of observations, providing a more accurate measure of the model's explanatory power when additional variables are included.

In a Multiple Regression Model, the Adjusted R-Square Value Measures