Variance inflation factor (VIF) measures
the impact of collinearity among the X’s in a regression model on the
precision of estimation. It expresses the degree to which collinearity among
the predictors degrades the precision of an estimate. This can be used with Minitab. Typically a VIF value greater than 10 is of concern.