SAS Exam A00-240 Topic 7 Question 100 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 100
Topic #: 7

PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward elimination using SBC as its selection criterion. The sequence of steps is summarized in the graphic shown below:

At Step 9 number of at bats (nAtBat) was removed from the model.

Why was it removed?

ARemoving nAtBat had the largest effect on the parameter estimate of nHits.

BThe p-Value for nAtBat was largest.

CRemoving nAtBat yielded the largest improvement to SBC.

DThe p-Value for nAtBat was smallest.

Show Suggested Answer

Suggested Answer: B

by Oretha at Sep 14, 2024, 11:01 PM

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Nu

2 months ago

Haha, I bet the person who wrote this question is a total baseball nerd. Anyway, the answer is C - removing nAtBat gave the biggest boost to the SBC, which is what the model cares about. Easy peasy.

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Twila

2 months ago

I think the p-Value for nAtBat was the largest, that's why it was removed.

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Roselle

2 months ago

I'm going to go with C. Removing nAtBat must have yielded the largest improvement to the SBC, otherwise it wouldn't have been the step chosen by the backward elimination process. This is a straightforward question if you understand the concept of model selection criteria.

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Kanisha

1 months ago

Definitely C. It's important to understand how each variable affects the model's performance.

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Lashawn

1 months ago

I agree. It's all about optimizing the model, and if removing nAtBat had the largest impact on SBC, then it was the right choice.

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Karl

2 months ago

I would have chosen C as well. It makes sense that the model selection process would prioritize improvement to SBC.

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Charlene

2 months ago

I think it's C too. The model probably improved the most when nAtBat was removed.

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Kimberely

2 months ago

C) Removing nAtBat yielded the largest improvement to SBC.

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Gladys

2 months ago

B) The p-Value for nAtBat was largest.

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Margurite

2 months ago

A) Removing nAtBat had the largest effect on the parameter estimate of nHits.

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Celia

2 months ago

I disagree, I believe nAtBat was removed because it yielded the largest improvement to SBC.

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Ines

3 months ago

I think nAtBat was removed because it had the largest effect on the parameter estimate of nHits.

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Thersa

3 months ago

Hmm, the p-value for nAtBat was the largest? That doesn't seem right. The question clearly says the model used backward elimination, so the answer has to be the one that maximizes the improvement to the selection criterion, which is SBC. C is the way to go.

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Daniel

3 months ago

Well, the question states that the backward elimination was based on the SBC criterion, so the answer must be C. Removing nAtBat resulted in the largest improvement to the SBC, which is the selection criterion used. Simple logic, really.

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