SAS A00-240 Exam - Topic 3 Question 36 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 36
Topic #: 3

[All A00-240 Questions]

A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.

What will be the result?

AAn increase in R-Square

BA decrease in R-Square

CA decrease in Mean Square Error

DNo change in R-Square

Show Suggested Answer

Suggested Answer: A

by Chanel at May 05, 2022, 04:55 PM

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Valentine

4 months ago

Yeah, it just adds noise without improving the model.

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Tandra

4 months ago

I thought adding variables always increased complexity, not stability.

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Hillary

4 months ago

Wait, are you sure? I thought it could mess things up.

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Pete

4 months ago

Totally agree, it should stay the same!

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Sherly

5 months ago

Adding a non-contributing variable won't change R-Square.

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Bea

5 months ago

I thought that R-Square could only increase or stay the same, so I’m leaning towards no change in R-Square.

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Elke

5 months 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.

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Jeffrey

5 months ago

I remember that adding a non-contributing variable shouldn't really affect the R-Square, but I'm not entirely sure.

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Loren

5 months 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?

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Arthur

5 months 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.

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Lonny

5 months 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.

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Dallas

5 months ago

I remember something about log files being in flash memory, like in a practice question we did. Was it flash:/ ?

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