SAS A00-240 Exam - Topic 5 Question 73 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 73
Topic #: 5

A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%.

For which of the following would this study be a candidate?

Aover fitting

Boversampling

Cmulticollinearity

Dsimple random sample

Show Suggested Answer

Suggested Answer: C

by Nicolette at Aug 09, 2023, 10:45 AM

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Rory

5 months ago

Overfitting might be a concern too, right?

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Pauline

5 months ago

Definitely a candidate for oversampling, no doubt!

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Renay

6 months ago

Wait, isn't multicollinearity more about variable relationships?

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Ammie

6 months ago

I think oversampling could help with that!

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Earleen

6 months ago

The disease occurrence rate is super low at 1%.

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Lashandra

6 months ago

A simple random sample sounds like a standard approach, but I feel like the focus on disease occurrence might steer us towards oversampling instead.

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Jenelle

6 months ago

Multicollinearity seems less likely to be a concern with just one outcome variable, but I could be mixing it up with other concepts we studied.

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Francene

7 months ago

I think oversampling might be relevant here since the disease occurrence is so low, but I'm not entirely sure how it applies specifically to this question.

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Lenna

7 months ago

I remember we talked about how low event rates can lead to issues like overfitting in logistic regression.

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Doug

7 months ago

This seems like a straightforward question about the purpose of conflict resolution. I'll think through the options carefully and choose the one that best matches the definition I know.

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Timothy

7 months ago

I'm pretty sure the service value chain is about converting inputs into outputs, so I think option B is the correct answer.

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Nydia

7 months ago

This seems like a straightforward question about project closure planning. I think I can tackle this one.

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Glynda

7 months ago

I remember something about residual risk being the leftover risk after controls. So C makes sense, but I'm not entirely confident about it.

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