Essentially, the VIF tells you the effect of correlations among your predictors for the returns and costs of a product.
It measures how much an dependent factor (such as the sales for a specific product) varies due to the influence of other factors (such as the season/weather). VIF, the Variance Inflation Factor, is used during regression analysis to assess whether certain factors are correlated to each other and the severity of this correlation.
