How can Ridge Regression be used to mitigate multicollinearity in Multiple Linear Regression?

  • By adding a penalty term to the coefficients
  • By increasing model complexity
  • By reducing the number of samples
  • By removing correlated variables
Ridge Regression adds a penalty term to the coefficients, shrinking them and mitigating the impact of multicollinearity. This regularization technique helps stabilize the estimates.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *