a. The following questions is a variable selection method based on AIC. I Is thi

Question

a. The following questions is a variable selection method based on AIC. I Is this a forward selection or backward elimination method? Explain. II. If no variable is added or removed from the original model, what will happen to the AIC of the original model? III Which of the variables will drop AIC the most when added to the original model (mpg-1). IV. Write the value of the AIC of the model when this variable (from part III) is added to the model. V. Which of the variables can you say for sure will be in the final model. b. Explain briefly how the F-statistic is used when adding variables to a model that begins with no predictors. c. What is the difference between forward selection and stepwise regression?

Explanation / Answer

1. its a forward selection since there is no predictor varibles added

2. it will remain same

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4.73.217

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C.The stepwise method is a modification of the forward-selection technique and differs in that variables already in the model do not necessarily stay there. As in the forward-selection method, variables are added one by one to the model

b. the FORWARD method adds the variable that has the largest F statistic to the model.

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