Final answer:
Ridge Regression doesn't perform variable selection because it is designed to minimize the coefficients of the predictors without setting them to exactly zero.
Step-by-step explanation:
Ridge Regression doesn't perform variable selection because it is designed to minimize the coefficients of the predictors without setting them to exactly zero. In Ridge Regression, a penalty term is added to the ordinary least squares (OLS) objective function, which helps to reduce the impact of collinearity among the predictors. This penalty term prevents any of the coefficients from becoming exactly zero, allowing all variables to have some influence on the model's predictions.