Which of the following precautions regression procedures in model selection is an attempt to find the best regression model without examining all possible models?
A)principle of parsimony
B)cross validation
C)stepwise regression
D)collecting new data and using regression to validate the model.

Question

Quizplus · Accepted Answer

Stepwise regression is a technique that attempts to find the best regression model by iteratively adding or removing predictor variables based on the statistical significance of their coefficients. It is a more efficient method than examining all possible models, as it eliminates variables that do not significantly contribute to the model. Therefore, stepwise regression is a recommended precaution in model selection. The other options, principle of parsimony and collecting new data, are general concepts that do not specifically relate to regression model selection. Cross-validation is a technique to evaluate the performance of a model but does not directly impact the model selection process.

Which of the Following Precautions Regression Procedures in Model Selection