Variance inflation from predictor correlations
Calculate VIFs from an invertible predictor correlation matrix.
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Use 2–20 predictors; exclude the outcome and intercept. Rows and columns use identical order. Matrix must be symmetric, positive definite, with diagonal one.
The starting values are hypothetical. Results update as you edit. Use aggregate or synthetic inputs only.
Calculation results
- Predictor 1 VIF
- 1.5625
- Predictor 2 VIF
- 1.5625
How to interpret the output
For standardized predictors, diagonal entries of the inverse correlation matrix are variance inflation factors. Large values indicate linear collinearity but do not alone justify dropping a confounder. Results depend on the modeled predictor coding and complete analysis sample.
Method referenceSource checked 2026-11-06. Read the reproducible calculator validation report.