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IASSC ICGB Exam - Topic 10 Question 59 Discussion

When analyzing a data set we frequently graph one metric as a function of another. If the slope of the Correlation line is -2.5 we would say the two metrics are ___________ correlated?
D) None
A) Positively
B) Not
C) Negatively

IASSC ICGB Exam - Topic 10 Question 59 Discussion

Actual exam question for IASSC's ICGB exam
Question #: 59
Topic #: 10
[All ICGB Questions]

When analyzing a data set we frequently graph one metric as a function of another. If the slope of the Correlation line is -2.5 we would say the two metrics are ___________ correlated?

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Suggested Answer: D

by Brandon at Apr 24, 2024, 10:22 AM

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Marylin
6 months ago
Not so sure about that, could be misleading.
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Elouise
7 months ago
Yup, C is the right answer!
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Dong
7 months ago
Wait, how does a negative slope mean negative correlation?
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Kaitlyn
7 months ago
Agreed, negative correlation for sure!
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Alpha
7 months ago
The slope is -2.5, so definitely negatively correlated.
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Elouise
8 months ago
I feel confident that a slope of -2.5 indicates a negative correlation. It’s similar to what we did in our last practice exam.
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Chau
8 months ago
I’m not really clear on this. Does a negative slope always mean negative correlation?
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Fairy
8 months ago
I remember practicing a question like this where a negative slope indicated a negative correlation. So I would go with C.
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Joanna
8 months ago
I think the slope being negative means the metrics are negatively correlated, but I'm not 100% sure.
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Art
8 months ago
This looks straightforward. A negative slope always indicates a negative correlation, so the answer has to be C) Negatively correlated. I'm confident that's the right choice.
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Latricia
8 months ago
Okay, let me think this through. A negative slope means the two metrics move in opposite directions, so I'm pretty sure the answer is C) Negatively correlated.
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Joesph
8 months ago
Hmm, the slope is negative, so I think the metrics must be negatively correlated. I'll double-check the options to be sure.
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Silva
8 months ago
Wait, I'm a little confused. If the slope is -2.5, does that mean the metrics are strongly or weakly correlated? I want to make sure I understand this before selecting an answer.
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Donette
8 months ago
I feel pretty confident about OSPF, so I should be able to work through this step-by-step. The key is understanding how external routes are advertised in this scenario.
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Julio
8 months ago
Based on the information provided, I think the answer is VMware Tanzu Kubernetes Grid. It's the Kubernetes platform that's specifically designed for deployment on VMware infrastructure, which aligns with the requirements in the question.
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Hershel
8 months ago
Okay, let me see. I think A and E are definitely true, but I'm not sure about the others. I'll need to double-check the details on quick payments.
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Kip
1 year ago
Haha, I hope the exam doesn't have any trick questions like 'None of the above'. That would be too easy to fall for!
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Princess
1 year ago
C) Negatively
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Miles
1 year ago
B) Not
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Dorothy
1 year ago
A) Positively
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Luisa
1 year ago
Hmm, a slope of -2.5 is a pretty strong negative correlation. I wonder what the actual data points look like.
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Latrice
1 year ago
Aha, a negative slope means the metrics move in opposite directions. I remember learning this in my statistics class.
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Leonardo
12 months ago
C: I see, thanks for explaining!
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Iesha
1 year ago
A: Exactly, that's what a negative correlation means.
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Monroe
1 year ago
B: So if one goes up, the other goes down?
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Aleta
1 year ago
A: The two metrics are negatively correlated.
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Lavonna
1 year ago
I agree with Richelle, the answer is C) Negatively. A negative slope means as one metric increases, the other decreases.
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Melissia
1 year ago
The negative slope definitely indicates a negative correlation. This is a basic concept in data analysis.
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Felicitas
1 year ago
A) Positively
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Kayleigh
1 year ago
Yes, a negative slope indicates a negative correlation.
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Zita
1 year ago
C) Negatively
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Richelle
1 year ago
I think the answer is C) Negatively because a negative slope indicates a negative correlation between the two metrics.
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Rocco
1 year ago
C) Negatively
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