When examining the output of any multiple regression,the researcher should inspect the VIF number associated with each independent variable that is retained in the final multiple regression equation by the procedure.

Question

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VIF (Variance Inflation Factor) measures the extent to which the variance of the estimated regression coefficient is increased due to multicollinearity in the data. Hence, it is important to inspect the VIF number associated with each independent variable in the final multiple regression equation to assess the presence of multicollinearity. A high VIF value (greater than 5 or 10) indicates a possible issue with multicollinearity, which can affect the interpretation and reliability of the regression results.

When Examining the Output of Any Multiple Regression,the Researcher Should