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Variance Inflation Factor


The variance inflation factor for the jth explanatory variable in a multiple regression is

 VIF_(j)=1/(1-R_j^2),

where R_j^2 is the coefficient of determination obtained by regressing that variable on all the other explanatory variables. It is the factor by which the variance of the estimated jth regression coefficient exceeds the value it would have if that variable were uncorrelated with the other explanatory variables, with the remaining scale quantities held fixed. Large values therefore diagnose multicollinearity involving that variable.


See also

Coefficient of Determination, Design Matrix, Farrar-Glauber Test, Multicollinearity, Multiple Regression, Variance

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References

Belsley, D. A.; Kuh, E.; and Welsch, R. E. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. New York: Wiley, 1980.

Cite this as:

Weisstein, Eric W. "Variance Inflation Factor." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/VarianceInflationFactor.html

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