Vif Regression. X 1 β 2. In a bivariate analysis I had a significant positive correlation between y and x1 which I expected.
Heres the formula for calculating the VIF for X 1. A general rule of thumb for interpreting VIFs is as follows. Excessive multicollinearity can cause problems for regression models.
Calculating VIF in Python.
Multicollinearity inflates the variance and type II error. Jul 20 2020 One way to detect multicollinearity is by using a metric known as the variance inflation factor VIF which measures the correlation and strength of correlation between the explanatory variables in a regression model. In this regression model. Native or mutant vif genes vifA or vifB in the NL4-3 strain backbone were used as tags for discriminating virus variants in competition assays.
