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Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?
Suggested Answer: C
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12 comments · newest first
MA
Matthew
12 months ago
A and D are standard practices, no doubt about it!
AR
Art
12 months ago
Wait, can you really just set responses to missing? That sounds off.
SA
Sarina
1 year ago
C seems fine to me, but B is a no-go.
FI
Fidelia
1 year ago
I agree, using missing responses makes no sense!
JE
Jettie
1 year ago
B is definitely not appropriate.
RI
Rickie
1 year ago
I think D is correct since using saved parameter estimates is a standard way to score new observations, but I'm not sure about B and C.
CA
Carissa
1 year ago
I'm pretty sure using the SCORE statement is a valid method, but I'm not entirely confident about the details of the other options.
JU
Julio
1 year ago
I think option B seems off because setting responses to missing doesn't really help in scoring.
KR
Kristel
1 year ago
I remember practicing a similar question, and I feel like augmenting the dataset and rerunning the procedure might not be the best approach either.
BO
Bo
1 year ago
Hmm, this looks like a tricky one. I'll need to carefully review the classification tree and think through all the possible combinations to determine the minimum number of test cases.
SH
Shawna
1 year ago
Ah, I see. The question is really about understanding the limitations of Shield Encryption and how it might affect the company's business processes. I'll need to think through the specific use cases and requirements.
CA
Candida
1 year ago
I'm a bit confused by the wording on option B. How would a reduction in raw material costs that aren't passed on to customers affect the margin? That doesn't seem to make sense to me.