Variance Inflation Factor. For example the variance inflation factor for the estimated regression coefficient b j denoted VIF j is just the factor by which the variance of b j is inflated. The presence of multicollinearity within the set of independent variables can.
A variance inflation factor exists for each of the predictors in a multiple regression model. Multicollinearity is a problem in a multiple model that is the variance inflation factor VIF for a predictor is near or above 5. It is calculated by taking the the ratio of the variance of all a given models betas divide by the variane of a single beta if it were fit alone.
Its presence can.
Its presence can. If any terms in an unweighted linear model have more than 1 df then generalized variance-inflation factors Fox and Monette 1992 are calculated. Multicollinearity is when theres correlation between predictors ie. A measure of the amount of multicollinearity in a set of multiple regression variables.
