The variance inflation factor (VIF) provides a measure for each independent variable of how much multicollinearity is associated with that particular independent variable.

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The Variance Inflation Factor (VIF) quantifies the extent of multicollinearity in an ordinary least squares regression analysis. It measures how much the variance of an estimated regression coefficient increases if your predictors are correlated. If a predictor has a high VIF, it means that it is highly correlated with other predictors, thus indicating the presence of multicollinearity.

The Variance Inflation Factor (VIF) Provides a Measure for Each