Variance Inflation Factors (VIFs) - Statistics by Jim
Dec 6, 2020 · Variance Inflation Factors (VIFs) measure the correlation among independent variables in least squares regression models. Statisticians refer to this type of correlation as multicollinearity.
Variance Inflation Factor: How to Detect Multicollinearity
Nov 18, 2024 · VIF is a technique used to detect multicollinearity in regression models by quantifying how much the variance of a predictor is inflated due to correlations with other predictors.
Variance Inflation Factor (VIF): Definition and Formula
Jul 23, 2025 · What Is a Variance Inflation Factor (VIF)? A variance inflation factor (VIF) tells you whether one of your variables is too similar to any others in your model.
Understanding VIF: What It Is and Why It’s Needed - Medium
Oct 16, 2024 · Variance Inflation Factor (VIF) is a metric used to quantify how much the variance of an estimated regression coefficient increases when your predictors are correlated.
10.7 - Detecting Multicollinearity Using Variance Inflation ...
That's why many regression analysts often rely on what are called variance inflation factors (VIF) to help detect multicollinearity. What is a Variation Inflation Factor? As the name suggests, a variance …
The Concise Guide to Variance Inflation Factor - Statology
Mar 3, 2025 · What Is VIF, Really? The Variance Inflation Factor measures how much the variance of a regression coefficient is inflated due to correlation with other predictors. Each predictor in your model …
Detecting Multicollinearity with VIF - Python - GeeksforGeeks
Nov 20, 2025 · The Variance Inflation Factor (VIF) is used to detect multicollinearity in regression analysis. In this article, we’ll see VIF and how to use it in Python to identify multicollinearity. VIF …