• Variance Inflation Factor (VIF) provides a measure of multicollinearity among the explanatory variables in a multiple regression model.

  • The detection of multicollinearity is important because, although multicollinearity does not reduce the explanatory power of the model, it does reduce the statistical significance of the explanatory variables.
  • A large inflation factor of variance (VIF) for the independent variable indicates a highly collinear relationship with other variables that should be accounted for or adjusted in the model design and choice of explanatory variables.