In a multiple regression mode if the largest VIF is 21.6,then it can be concluded that there are indications of multicollinearity.

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A VIF (variance inflation factor) value of 21.6 indicates that there is a high degree of correlation between one or more independent variables in the model. This high level of correlation suggests multicollinearity, which can affect the accuracy and reliability of the regression coefficients and prediction results.

In a Multiple Regression Mode If the Largest VIF Is