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A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.
What will be the result?
Suggested Answer: A
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12 comments · newest first
VA
Valentine
12 months ago
Yeah, it just adds noise without improving the model.
TA
Tandra
12 months ago
I thought adding variables always increased complexity, not stability.
HI
Hillary
1 year ago
Wait, are you sure? I thought it could mess things up.
PE
Pete
1 year ago
Totally agree, it should stay the same!
SH
Sherly
1 year ago
Adding a non-contributing variable won't change R-Square.
BE
Bea
1 year ago
I thought that R-Square could only increase or stay the same, so I’m leaning towards no change in R-Square.
EL
Elke
1 year ago
I feel like adding a variable that doesn't contribute could actually decrease the model's efficiency, but I can't recall if that affects R-Square directly.
JE
Jeffrey
1 year ago
I remember that adding a non-contributing variable shouldn't really affect the R-Square, but I'm not entirely sure.
LO
Loren
1 year ago
I think I practiced a question like this, and it mentioned that R-Square always increases or stays the same, so maybe it won't change?
AR
Arthur
1 year ago
This one seems straightforward to me. The script is not running, so I need to look at the options and see which ones address that issue directly. I'll go with A and B, as they seem the most relevant.
LO
Lonny
1 year ago
Hmm, I'm a bit unsure about this one. The TOGAF template has a lot of different sections, and I'm not entirely familiar with the specifics of each one. I'll have to think this through carefully.
DA
Dallas
1 year ago
I remember something about log files being in flash memory, like in a practice question we did. Was it flash:/ ?