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SAS A00-240 Exam - Topic 8 Question 39 Discussion

Including redundant input variables in a regression model can:
B) Destabilize parameter estimates and increase the risk of overfitting.
A) Stabilize parameter estimates and increase the risk of overfitting.
C) Stabilize parameter estimates and decrease the risk of overfitting.
D) Destabilize parameter estimates and decrease the risk of overfitting.

SAS A00-240 Exam - Topic 8 Question 39 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 39
Topic #: 8
[All A00-240 Questions]

Including redundant input variables in a regression model can:

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Suggested Answer: B

by Frederica at May 09, 2022, 09:13 PM

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7 months ago
I thought redundancy would help, but maybe not?
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Louisa
7 months ago
B makes sense, more variables usually complicate things.
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Josefa
8 months ago
Wait, how can adding more variables stabilize estimates? Seems off.
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Roy
8 months ago
I agree, B is the right choice!
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Denny
8 months ago
Redundant variables can definitely lead to overfitting.
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Martina
8 months ago
I thought including redundant variables would destabilize estimates, but I can't recall if it definitely leads to overfitting.
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Teri
8 months ago
I feel like I read that redundant variables might stabilize estimates, but I'm confused about how that relates to overfitting.
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Joaquin
8 months ago
I think I practiced a question similar to this, and it mentioned that adding redundant inputs can actually increase the risk of overfitting.
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Yen
8 months ago
I remember discussing how including redundant variables can lead to overfitting, but I'm not sure if it also destabilizes estimates.
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Barrett
8 months ago
I agree with Quentin. Analyzing the network seems like the best place to start to plan the penetration test effectively.
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Eleni
9 months ago
Hmm, I'm a bit unsure about this one. I was thinking the document should only have 1 or 2 use cases, to keep it focused. But 3 or more could work too. I'll have to think it through more.
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