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Which SAS program will detect collinearity in a multiple regression application?
Suggested Answer: B
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15 comments · newest first
BA
Barrie
12 months ago
Definitely C, it’s the go-to for this!
LO
Lon
12 months ago
Wait, are we sure about that?
JU
Jules
1 year ago
I thought it was Option A?
IO
Iola
1 year ago
Totally agree, C is the best choice!
CA
Carry
1 year ago
Option C is the one for collinearity detection.
DO
Domingo
1 year ago
I think option A might be the one that includes diagnostics for collinearity, but I need to double-check my notes on that.
HI
Hildred
1 year ago
I vaguely remember that one of the options uses PROC REG, but I can't remember if that's the right one for detecting collinearity.
VE
Verlene
1 year ago
I remember practicing a question about multicollinearity, and I feel like it was related to option C, but I can't recall the specifics.
GR
Gracia
1 year ago
I think collinearity detection might involve looking at variance inflation factors, but I'm not sure which option does that.
TR
Tresa
1 year ago
I feel pretty confident about this one. Microsoft 365 is a suite of productivity and collaboration tools, so I'm guessing the answer has to do with one of those. Let me double-check the options and see which one makes the most sense.
LA
Latrice
1 year ago
I think the Exception Shielding pattern advises against sending any messages on errors. So maybe that's how sensitive info slipped out?
LE
Lenna
1 year ago
I'm leaning towards option C about vCenters. There was a question on how different virtual environments interact, and I feel like that's relevant here.
MO
Moira
1 year ago
I'm pretty confident the answer is Pipeline project. That's a core job type in Jenkins, right?
HO
Hollis
1 year ago
This is a tricky one, but I'm going to take my time and carefully consider each option. I know the material well, so I should be able to identify the correct answer if I think it through step-by-step.
FR
Francine
1 year ago
I think the answer might be vManage since it handles the centralized policies, but I'm not completely sure.