Tolerance and Regression
Tolerance is used in regression models to measure for multicollinearity
Tolerance is used in applied regression analysis to assess levels of multicollinearity. Tolerance measures for how much beta coefficients are affected by the presence of other predictor variables in a model. Smaller values of tolerance denote higher levels of multicollinearity. The cut-off for tolerance that is generally accepted falls at .25.
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