SAS Exam A00-240 Topic 7 Question 99 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 99
Topic #: 7

[All A00-240 Questions]

Refer to the exhibit.

Output from a multiple linear regression analysis is shown.

What is the most appropriate statement concerning collinearity between the input variables?

ACollinearity is a problem since all variance inflation values are less than 10.

BCollinearity is not a problem since all variance inflation values are less than 10.

CCollinearity is not a problem since all Pr>|t| values are less than 0.05.

DCollinearity is a problem since all Pr>|t| values are less than 0.05.

Show Suggested Answer

Suggested Answer: C

by Alba at Sep 16, 2024, 06:10 AM

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Pearlene

8 months ago

Collinearity, schmolinearity. As long as I can spell 'regression' correctly, I'm good to go! B seems legit, though.

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Arletta

8 months ago

Haha, these questions always try to trip you up. But I'm no rookie, I know the VIF values are the key here. B is the way to go, my dudes.

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Annita

8 months ago

Thanks for the tip, I'll go with B as well. VIF values are crucial in multiple linear regression analysis.

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Katina

8 months ago

Yeah, VIF values less than 10 indicate that collinearity is not a problem.

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Margurite

8 months ago

I agree, B is the correct answer. VIF values are important in determining collinearity.

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Emeline

8 months ago

Ah, tricky question. I was going to say D, but then I saw the part about the VIF values. Gotta pay attention to those details, you know? B it is.

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Nickie

9 months ago

Hmm, I think B is the right answer. If all the VIF values are less than 10, then collinearity is not an issue. Looks pretty straightforward to me.

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Janae

7 months ago

Christiane: Exactly, it's a good sign when all VIF values are below the threshold.

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Jose

7 months ago

User 4: That makes sense, thanks for clarifying.

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Jamey

7 months ago

User 3: So, we can conclude that collinearity is not an issue in this case.

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Christiane

8 months ago

User 2: Yeah, that makes sense. It's a clear indicator of no multicollinearity.

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Leah

8 months ago

Yeah, if VIF values are less than 10, collinearity is not a problem.

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Pete

8 months ago

I agree, B is the correct answer. VIF values less than 10 means no collinearity issue.

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Eladia

8 months ago

I agree, B is the correct answer.

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Shanda

9 months ago

But what about the Pr>|t| values? Maybe that's a better indicator of collinearity.

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Rima

9 months ago

I disagree, I believe collinearity is not a problem since all variance inflation values are less than 10.

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Shanda

9 months ago

I think collinearity is a problem since all variance inflation values are less than 10.

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