A VIF of 1 indicates no correlation between the predictor and other variables, suggesting no multicollinearity. 1 Moderate correlation, which is usually acceptable.
Understanding VIF Threshold Values for Multicollinearity Diagnosis
One approach is to remove one of the highly correlated predictors from the model, though this decision should be guided by theoretical understanding and the research objective. </ Addressing Multicollinearity Once a high VIF is detected, several strategies can be employed to mitigate the issue.
While there is no universal cutoff, many statisticians use specific thresholds to guide their decisions. These thresholds help researchers determine whether corrective action is necessary.
VIF Threshold Values Diagnostic Guidelines
Practical Considerations and Limitations. This correlation can distort the statistical significance of the predictors and complicate the interpretation of the model coefficients.
More About What is vif in statistics
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