VIF, which stands for Variance Inflation Factor, is typically used in statistics as a measure of how much the variance of an estimated regression coefficient is inflated by the existence of correlation among the predictors. Synonyms for VIF include correlation inflation factor, multicollinearity factor, and variance inflation factor. These terms all refer to the same statistical concept of quantifying the degree to which one predictor variable correlates with other predictor variables in a multiple regression model. Depending on the specific context and application, one of these synonyms may be preferred over another. However, all of these terms ultimately describe the same concept and are interchangeable in most situations.