Vif Stata. Aug 18 2020 207 PM URL. Effect of high tunnel on insect populations.
Vif is the variance inflation factor which is a measure of the amount of multicollinearity in a set of multiple regression variables. VIF 1 1-R2 where R2 is the R-squared value for that xs regression on the other x variables So when you only have 2 x variables youre regression x1 on x2 and x2 on x1. Thus no covariates were removed on the basis of collinearity.
The variables are state id sid state name state violent crimes per 100000 people crime murders per 1000000 murder the percent of the population living in metropolitan areas pctmetro the percent of the population that is white pctwhite percent of population with a high school education or above pcths percent of population living under poverty line poverty and.
The variance inflation factor was less than 2 for all multivariable models. High correlations between pairs of coefficients indicate possible collinearity problems. Stata FAQ Collinearity is a property of predictor variables and in OLS regression can easily be checked using the estat vif command after regress or by the user-written command collin see How can I use the search command to search for programs and get additional help. The variance inflation factor was less than 2 for all multivariable models.
