Jul 20, 2020 · Fortunately, it’s possible to detect multicollinearity using a metric known as the variance inflation factor (VIF), which measures the correlation and strength of correlation between the …

Feb 12, 2025 · Learn how to detect multicollinearity in Excel with simple correlation matrices and VIF analysis. Improve your regression model’s accuracy today.

Nov 11, 2025 · To detect the multicollinearity, we use the variance inflation factor or VIF. The VIF determines the severity of the correlation between explanatory variables in a regression model.

Mar 2, 2020 · This is evaluated through multicollinearity test which consists of calculating an inverted correlation matrix of independent variables and assessing its main diagonal values.

Sep 6, 2023 · In this video, I demonstrate how to detect and correct multicollinearity in a multiple regression analysis. ...more

Apr 4, 2025 · Excel, being one of the most accessible tools for statistical analysis, offers a range of diagnostic methods to detect multicollinearity. Here's a step-by-step guide to identifying …

Multicollinearity statistics measure the strength of linear relationships among variables in a set. Available in Excel using the XLSTAT statistical software.

Feb 24, 2015 · Such a situation is called multicollinearity, or simply collinearity, and should be avoided. For example, in Figure 1, X1 is double X2. Thus XTX is singular. Excel detects this and creates a …

Aug 21, 2025 · The Variance Inflation Factor (VIF) helps you determine the degree of multicollinearity between independent variables and interpret the correct regression results.

Dec 15, 2022 · This guide will explain how to calculate the variance inflation factor or VIF in Excel. The variance inflation factor determines the presence of multicollinearity in a regression model.