A good regression model has the fewest number of explanatory variables providing an adequate interpretation of the dependent variable.

Question

Quizplus · Accepted Answer

A good regression model aims for parsimony, meaning it includes the fewest possible explanatory variables while still adequately explaining the variation in the dependent variable. This approach helps to avoid overfitting and ensures the model is generalizable.

A Good Regression Model Has the Fewest Number of Explanatory