MENU
Including redundant input variables in a regression model can:
Suggested Answer: B
Get Premium A00-240 Questions
as Interactive Web-Based Practice Test or PDF
Real Exam Format
Detailed Explanations
Instant Access
Get Your Practice Test
11 comments · newest first
PA
Page
12 months ago
I thought redundancy would help, but maybe not?
LO
Louisa
12 months ago
B makes sense, more variables usually complicate things.
JO
Josefa
1 year ago
Wait, how can adding more variables stabilize estimates? Seems off.
RO
Roy
1 year ago
I agree, B is the right choice!
DE
Denny
1 year ago
Redundant variables can definitely lead to overfitting.
MA
Martina
1 year ago
I thought including redundant variables would destabilize estimates, but I can't recall if it definitely leads to overfitting.
TE
Teri
1 year ago
I feel like I read that redundant variables might stabilize estimates, but I'm confused about how that relates to overfitting.
JO
Joaquin
1 year ago
I think I practiced a question similar to this, and it mentioned that adding redundant inputs can actually increase the risk of overfitting.
YE
Yen
1 year ago
I remember discussing how including redundant variables can lead to overfitting, but I'm not sure if it also destabilizes estimates.
BA
Barrett
1 year ago
I agree with Quentin. Analyzing the network seems like the best place to start to plan the penetration test effectively.
EL
Eleni
1 year 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.