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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?
Suggested Answer: A
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29 comments · newest first
DE
Desmond
7 months ago
True, A is the best choice for this question. Clear and effective!
DE
Devorah
7 months ago
D) Fit - Mean and Residual Plot is useful for overall trends, but not for influence.
DA
Dacia
7 months ago
But C doesn't focus on influence like A does. A is more direct.
WI
Winifred
7 months ago
I’m leaning towards C) Residual by Predicted. It helps spot outliers too.
YU
Yuki
7 months ago
I agree! Cook's D is the standard for identifying influential points.
CY
Cyril
8 months ago
I think it's A) Cook's D by Observation. It shows influence clearly.
LI
Lina
8 months ago
Are we sure about that? I feel like there’s more to it.
IN
India
8 months ago
Cook's D is definitely the right choice here!
BE
Berry
9 months ago
Wait, I thought it was the Residual by Predicted plot?
ZO
Zoila
9 months ago
Haha, I bet the exam writer was trying to trick us with that last option!
HY
Hyman
9 months ago
Residual by Quantile? Really? That's not the right plot for this task.
DO
Dorcas
9 months ago
Hmm, I think the Fit - Mean and Residual Plot is the one I'd choose.
AL
Aleisha
9 months ago
Cook's D by Observation is the way to go for identifying influential observations.
ME
Merilyn
9 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.
AL
Allene
10 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.
CL
Cletus
10 months ago
I remember practicing with similar questions, and Cook's D was definitely mentioned as a key plot for identifying outliers.
TH
Theron
10 months ago
I think Cook's D by Observation is the one we use to identify influential observations, but I'm not entirely sure.
DO
Dominga
10 months ago
Totally agree, Cook's D is key for that.
NO
Noah
10 months ago
A) Cook's D by Observation is the one!
EL
Elizabeth
10 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.
KE
Kenneth
11 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.
EL
Elenora
11 months ago
Residual by Predicted is the plot I'd use to spot influential points.
FE
Felicitas
11 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.
JA
Jackie
11 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.
GE
German
6 months ago
Definitely, it’s crucial for model diagnostics!
HE
Helga
6 months ago
Cook's D really helps in pinpointing those outliers.
LA
Larae
6 months ago
Residual by Predicted is useful too, but not for influence.
ME
Merilyn
6 months ago
Yeah, it highlights influential points clearly.
TE
Tegan
7 months ago
I agree, Cook's D is the best choice for that.