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A non-contributing predictor variable (Pr > |t| = 0.658) is removed from an existing multiple linear regression model.
What will be the result?
Suggested Answer: B
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11 comments · newest first
JA
Janessa
12 months ago
I’m not convinced, seems like it could impact the results.
TI
Tijuana
12 months ago
Nope, no change in R-Square. That's how it works!
KR
Krissy
1 year ago
Wait, really? I thought it might affect the model somehow.
VI
Vi
1 year ago
Totally agree, it should stay the same!
SI
Silvana
1 year ago
Removing a non-contributing predictor won't change R-Square.
WI
Willard
1 year ago
If I recall correctly, non-contributing predictors don't add value, so I lean towards no change in R-Square, but I could be wrong.
CA
Cathern
1 year ago
I'm a bit confused; does removing a variable always lead to a decrease in Mean Square Error? I feel like it might depend on the context.
AS
Ashleigh
1 year ago
I think I practiced a question like this, and it mentioned that R-Square can only increase or stay the same when removing variables.
JE
Jesusa
1 year ago
I remember that removing a non-contributing variable shouldn't affect the R-Square much, but I'm not entirely sure.
VA
Van
1 year ago
The competing strategy makes the most sense to me based on the details provided. Someone who is assertive and uncooperative is clearly trying to win the conflict rather than collaborate or accommodate the other person. I feel good about selecting that option.
TH
Thea
1 year ago
Okay, let me see here. The question is asking for a command to show the current status of all Oracle VM Agent components. Based on that, I think option C, "service ovs-agent status", is the best choice.