## What is a good VIF score?

In general, a VIF above 10 indicates high correlation and is cause for concern. Some authors suggest a more conservative level of 2.5 or above. Sometimes a high VIF is no cause for concern at all.

## What is the acceptable VIF?

Delhi Institute of Advanced Studies. VIF is the reciprocal of the tolerance value ; small VIF values indicates low correlation among variables under ideal conditions VIF<3. However it is acceptable if it is less than 10.

**What does VIF score mean?**

Variance inflation factor

Variance inflation factor (VIF) is a measure of the amount of multicollinearity in a set of multiple regression variables. This ratio is calculated for each independent variable. A high VIF indicates that the associated independent variable is highly collinear with the other variables in the model.

### What does infinite VIF mean?

An infinite VIF value indicates that the corresponding variable may be expressed exactly by a linear combination of other variables (which show an infinite VIF as well).

### How much collinearity is too much?

A rule of thumb regarding multicollinearity is that you have too much when the VIF is greater than 10 (this is probably because we have 10 fingers, so take such rules of thumb for what they’re worth). The implication would be that you have too much collinearity between two variables if r≥. 95.

**Why is Vif infinite sometimes?**

If there is perfect correlation, then VIF = infinity. A large value of VIF indicates that there is a correlation between the variables. If the VIF is 4, this means that the variance of the model coefficient is inflated by a factor of 4 due to the presence of multicollinearity.

#### What does VIF of 1 mean?

How do we interpret the variance inflation factors for a regression model? A VIF of 1 means that there is no correlation among the jth predictor and the remaining predictor variables, and hence the variance of bj is not inflated at all.