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Question
Which of the following is the difference between forward selection and standard stepwise regression?
A) In the standard stepwise regression, variables that were added at earlier steps can be removed at later steps, which is not the case with forward selection.
B) The standard stepwise approach will generally produce a regression model with a higher R-square value than the forward selection approach.
C) Forward selection begins by selecting the variable with the highest correlation with the dependent variable and then proceeds to select subsequent variables in order of their F-to-enter value, while standard stepwise selects the variables in the order specified by the decision maker and then removes them from the model as needed.
D) There are no appreciable differences between the two methods, just different names for the same technique.
Answer
This answer is hidden. It contains 10 characters.
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