@@ -41,6 +41,7 @@ Multicollinearity occurs when two or more predictors in a regression model are h
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@@ -41,6 +41,7 @@ Multicollinearity occurs when two or more predictors in a regression model are h
4.**Tolerance**:
4.**Tolerance**:
-**How it works**: Tolerance is the reciprocal of the VIF and indicates how much of the variance in one predictor is not explained by the other predictors. Low tolerance (below 0.1) suggests multicollinearity.
-**How it works**: Tolerance is the reciprocal of the VIF and indicates how much of the variance in one predictor is not explained by the other predictors. Low tolerance (below 0.1) suggests multicollinearity.
