Variance inflation factor (VIF) is the estimate of the volume of multicollinearity in a collection of many regression variables.
VIF = Variance of the model / Variance of the model with a single independent variable
This ratio has to be calculated for every independent variable. If VIF is high, then it shows the high collinearity of the independent variables.
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