The adjusted R² accounts for the number of independent variables by ____________. A) Adding one to the R² B) Using the degrees of freedom C) Multiplying by the multiple standard error of the estimate D) Using a subscript for R²

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The adjusted R², also known as the adjusted R-squared, uses the degrees of freedom to account for the number of independent variables in the model. It is calculated by subtracting the residual sum of squares from the total sum of squares, dividing by the total sum of squares, and then adjusting for the degrees of freedom. Using the degrees of freedom helps to account for the fact that adding more variables to a model can result in a higher R², even if the variables do not contribute significantly to the model's predictive power.

The Adjusted R2 Accounts for the Number of Independent Variables

The Adjusted R² Accounts for the Number of Independent Variables