Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

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?

Show Suggested Answer Hide Answer
Suggested Answer: C

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

Limited Time Offer

25%

Off

Get Premium A00-240 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Pearlene
3 months ago
Collinearity, schmolinearity. As long as I can spell 'regression' correctly, I'm good to go! B seems legit, though.
upvoted 0 times
...
Arletta
3 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.
upvoted 0 times
Annita
3 months ago
Thanks for the tip, I'll go with B as well. VIF values are crucial in multiple linear regression analysis.
upvoted 0 times
...
Katina
3 months ago
Yeah, VIF values less than 10 indicate that collinearity is not a problem.
upvoted 0 times
...
Margurite
3 months ago
I agree, B is the correct answer. VIF values are important in determining collinearity.
upvoted 0 times
...
...
Emeline
3 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.
upvoted 0 times
...
Nickie
4 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.
upvoted 0 times
Janae
2 months ago
Christiane: Exactly, it's a good sign when all VIF values are below the threshold.
upvoted 0 times
...
Jose
2 months ago
User 4: That makes sense, thanks for clarifying.
upvoted 0 times
...
Jamey
3 months ago
User 3: So, we can conclude that collinearity is not an issue in this case.
upvoted 0 times
...
Christiane
3 months ago
User 2: Yeah, that makes sense. It's a clear indicator of no multicollinearity.
upvoted 0 times
...
Leah
3 months ago
Yeah, if VIF values are less than 10, collinearity is not a problem.
upvoted 0 times
...
Pete
3 months ago
I agree, B is the correct answer. VIF values less than 10 means no collinearity issue.
upvoted 0 times
...
Eladia
3 months ago
I agree, B is the correct answer.
upvoted 0 times
...
...
Shanda
4 months ago
But what about the Pr>|t| values? Maybe that's a better indicator of collinearity.
upvoted 0 times
...
Rima
4 months ago
I disagree, I believe collinearity is not a problem since all variance inflation values are less than 10.
upvoted 0 times
...
Shanda
4 months ago
I think collinearity is a problem since all variance inflation values are less than 10.
upvoted 0 times
...

Save Cancel