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SAS A00-240 Exam - Topic 1 Question 117 Discussion

Refer to the exhibit.These graphs were created using the GLM procedure with the plots(only)=diagnostics option.Which plot do you use to identify influential observations?
A) Cook's D by Observation
B) Residual by Quantile
C) Residual by Predicted
D) Fit - Mean and Residual Plot

SAS A00-240 Exam - Topic 1 Question 117 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 117
Topic #: 1
[All A00-240 Questions]

Refer to the exhibit.

These graphs were created using the GLM procedure with the plots(only)=diagnostics option.

Which plot do you use to identify influential observations?

Show Suggested Answer Hide Answer
Suggested Answer: A

by Kanisha at Nov 20, 2025, 01:59 AM

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Desmond
2 months ago
True, A is the best choice for this question. Clear and effective!
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Devorah
2 months ago
D) Fit - Mean and Residual Plot is useful for overall trends, but not for influence.
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Dacia
3 months ago
But C doesn't focus on influence like A does. A is more direct.
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Winifred
3 months ago
I’m leaning towards C) Residual by Predicted. It helps spot outliers too.
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Yuki
3 months ago
I agree! Cook's D is the standard for identifying influential points.
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Cyril
4 months ago
I think it's A) Cook's D by Observation. It shows influence clearly.
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Lina
4 months ago
Are we sure about that? I feel like there’s more to it.
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India
4 months ago
Cook's D is definitely the right choice here!
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Berry
4 months ago
Wait, I thought it was the Residual by Predicted plot?
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Zoila
4 months ago
Haha, I bet the exam writer was trying to trick us with that last option!
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Hyman
4 months ago
Residual by Quantile? Really? That's not the right plot for this task.
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Dorcas
5 months ago
Hmm, I think the Fit - Mean and Residual Plot is the one I'd choose.
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Aleisha
5 months ago
Cook's D by Observation is the way to go for identifying influential observations.
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Merilyn
5 months ago
I’m a bit confused; I thought the Fit - Mean and Residual Plot was for checking model fit rather than identifying influential points.
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Allene
5 months ago
Residual by Predicted seems like it could help too, but I feel like it’s more about checking assumptions rather than identifying influence.
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Cletus
5 months ago
I remember practicing with similar questions, and Cook's D was definitely mentioned as a key plot for identifying outliers.
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Theron
5 months ago
I think Cook's D by Observation is the one we use to identify influential observations, but I'm not entirely sure.
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Dominga
6 months ago
Totally agree, Cook's D is key for that.
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Noah
6 months ago
A) Cook's D by Observation is the one!
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Elizabeth
6 months ago
Okay, I think I've got this. Based on the question, the Fit - Mean and Residual Plot wouldn't be the right choice here. I'm leaning towards Cook's D by Observation to identify influential observations.
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Kenneth
6 months ago
The key here is to focus on the diagnostic plots. I'd go with option A, Cook's D by Observation. That's the best way to spot any observations that are having an outsized impact on the model.
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Elenora
6 months ago
Residual by Predicted is the plot I'd use to spot influential points.
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Felicitas
7 months ago
I'm a bit confused on this one. I'm not sure if I should be looking at the Residual by Quantile or the Residual by Predicted plot. They both seem like they could be relevant.
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Jackie
7 months ago
Hmm, I think I'd use Cook's D by Observation to identify influential observations. That plot shows how much each observation is influencing the overall model fit.
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German
1 month ago
Definitely, it’s crucial for model diagnostics!
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Helga
2 months ago
Cook's D really helps in pinpointing those outliers.
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Larae
2 months ago
Residual by Predicted is useful too, but not for influence.
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Merilyn
2 months ago
Yeah, it highlights influential points clearly.
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Tegan
2 months ago
I agree, Cook's D is the best choice for that.
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