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The selection criterion used in the forward selection method in the REG procedure is:
Suggested Answer: B
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13 comments · newest first
PE
Pedro
10 months ago
100% agree, SLE is the way to go!
AL
Aleisha
10 months ago
Mallows' Cp is used in other methods, not this one.
BR
Brinda
11 months ago
Wait, is it really not Adjusted R-Square?
EL
Elliott
11 months ago
I thought it was AIC, but I guess not.
SE
Selma
11 months ago
It's definitely SLE!
BE
Ben
11 months ago
AIC seems familiar, but I thought it was more related to model comparison rather than the selection process itself.
GR
Gracia
12 months ago
I feel like adjusted R-square is important for model selection, but I can't recall if it's specifically for forward selection.
HA
Harrison
12 months ago
I remember practicing with Mallows' Cp in a similar question, but I don't think that's right for forward selection.
JO
Joye
1 year ago
I think the forward selection method uses SLE, but I'm not completely sure. It feels like I might be mixing it up with backward elimination.
EV
Evangelina
1 year ago
I'm pretty confident the answer is C, Mallows' Cp. The forward selection method aims to minimize Mallows' Cp, which is a measure of model fit that balances goodness of fit and model complexity.
RO
Roslyn
1 year ago
Okay, let me see if I can work this out. The forward selection method starts with an empty model and adds variables one by one based on some selection criterion. I believe the criterion is to choose the variable that gives the largest increase in R-squared, so the answer is A, Adjusted R-Square.
KE
Keneth
1 year ago
Hmm, I'm a bit unsure about this one. I know the forward selection method is used to build a regression model, but I can't quite recall the specific selection criterion it uses. I'll have to think this through carefully.
CO
Colene
1 year ago
I'm pretty sure the answer is B. The forward selection method uses the SLE (Significance Level for Entry) as the selection criterion to determine which variables to add to the model.