Vif Regression Excel. 2 Variance Inflation FactorVIF. Multicollinearity inflates the variance and type II error.
Go to the Add-in menu of Excel and tick the Data Analysis package. VIF is majorly used to measure the severity of multicollinearity in a multiple regression model. It is used to explain how much amount multicollinearity correlation between predictors exists in a regression analysis.
Use of multicollinearity statistics Detecting multicollinearities within a group of variables can be useful especially in the following cases.
Mathematically the VIF for a regression model variable is equal to the. Jun 03 2020 Variance inflation factor VIF is used to detect the severity of multicollinearity in the ordinary least square OLS regression analysis. It makes the coefficient of a variable consistent but unreliable. The data for the first 12 states in Example 1 of Multiple Correlation.
