Which method of variable selection can help mitigate the impact of Multicollinearity?
- All of these methods.
- Backward elimination.
- Best subset selection.
- Forward selection.
All these variable selection methods can be useful to mitigate the impact of multicollinearity. They help by eliminating irrelevant variables and keeping only those that contribute the most to the prediction of the dependent variable.
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