Variance Inflation Factor

Variance Inflation Factor - Variance inflation factor (VIF) measures the impact of collinearity among the X's in a regression model on the precision of estimation. It expresses the degree to which collinearity among the predictors degrades the precision of an estimate. This can be used with Minitab. Typically a VIF value greater than 10 is of concern.

[Category=Data Quality ]

Source: iSixSigma, 03 March 2011 09:11:04, https:web.archive.org/web/20111109014246/http:www.isixsigma.com/index.php?option=com_glossary