Interpreting Variance Inflation Factor (Vif) Results: A Guide
The Variance Inflation Factor (VIF) is a crucial statistical measure used to identify multicollinearity within regression models. It assesses how much the variance of an estimated regression coefficient increases due to collinearities. Understanding and interpreting VIF results is essential for ensuring the accuracy and stability of statistical models, particularly in multivariate logistic regression. This guide…