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SAS A00-240 Exam - Topic 6 Question 41 Discussion

An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to converge. The analyst prints the summarized data, showing the number of defaulted loans per agent. See the partial output below:What is the most likely reason that the model fails to converge?
A) There is quasi-complete separation in the data.
B) There is collinearity among the predictors.
C) There are missing values in the data.
D) There are too many observations in the data.

SAS A00-240 Exam - Topic 6 Question 41 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 41
Topic #: 6
[All A00-240 Questions]

An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to converge. The analyst prints the summarized data, showing the number of defaulted loans per agent. See the partial output below:

What is the most likely reason that the model fails to converge?

Show Suggested Answer Hide Answer
Suggested Answer: A

by Gracia at May 04, 2022, 10:59 PM

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Deeanna
10 months ago
Missing values could also mess things up, but not as likely.
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Kimberely
10 months ago
Wait, how can there be too many observations? That seems odd.
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Jarvis
11 months ago
I thought collinearity could be a problem too, though.
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Teresita
11 months ago
Totally agree, that’s a classic reason for non-convergence.
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Sabra
11 months ago
Looks like quasi-complete separation is the issue here.
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Carmelina
11 months ago
I doubt having too many observations is the issue; more data usually helps, right? It seems like A is the most likely answer.
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Hollis
11 months ago
Missing values could be a factor, but I feel like they usually just lead to warnings rather than convergence failures.
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Bettina
11 months ago
I think collinearity could also be a problem, but I’m not sure if it would prevent convergence like separation would.
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Loreen
11 months ago
I remember something about quasi-complete separation causing convergence issues in logistic regression. That might be it.
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Denna
11 months ago
This looks like a classic cross-site scripting (XSS) attack. The attacker is injecting malicious JavaScript code into the URL, which could be executed by the victim's browser.
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Karma
12 months ago
Okay, I've got a strategy for this. I'll start by eliminating the options that I know are false, then focus on the remaining ones to determine which three are true. Single-row functions can be tricky, but I think I can work through this.
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