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Linear Regression – Assumption – 2 (Inflection Factor.)
Variance Inflection Factor Table Of Contents: What Is VIF? How VIF Works? Mathematical Formula. Interpreting VIF Value. Example Of VIF. Why VIF Is Important? How To Handle High VIF? Summary. (1) What Is VIF? The Variance Inflation Factor (VIF) is a statistical measure used to detect multicollinearity in a regression model. It quantifies how much the variance of a regression coefficient is inflated due to multicollinearity among the independent variables. In simpler terms, VIF helps identify whether a predictor is strongly correlated with other predictors in the model. (2) How VIF Works? If an independent variable is highly correlated with
