Multicollinearity Definition, Types, Regression, Examples
Multicollinearity prevents predictive models from producing accurate predictions by increasing model complexity and overfitting. To reduce the amount of multicollinearity found in a statistical model, one can remove the specific variables identified as the most collinear. You can also try to combine or transform the offending variables to lower their correlation. If that does not […]
