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GAQM CLSSGB-001 Exam - Topic 1 Question 49 Discussion

Actual exam question for GAQM's CLSSGB-001 exam
Question #: 49
Topic #: 1
[All CLSSGB-001 Questions]

Multiple Linear Regressions (MLR) is best used when which of these are applicable? (Note: There are 3 correct answers).

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Suggested Answer: B

by Lonna at May 11, 2024, 06:02 PM

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Polly
3 months ago
Totally agree with C, it’s all about multiple inputs!
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Yaeko
3 months ago
I thought MLR was for linear relationships only!
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Vesta
3 months ago
B and E are also valid, right?
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Broderick
4 months ago
Wait, are we sure about A? Seems off.
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Jaime
4 months ago
C is definitely one of the correct answers!
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Olive
4 months ago
I feel like B might be relevant since uncertainty in slopes could be a factor, but I can't recall if it's a main reason for using MLR.
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Hubert
4 months ago
I remember practicing questions where we discussed the independence of X's, so E seems like a valid choice for MLR.
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Agustin
4 months ago
I'm not sure about A; I thought MLR assumes linear relationships, but maybe it can handle some non-linear aspects too?
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Pok
5 months ago
I think MLR is definitely used when there are relationships between Y and multiple X's, so maybe C is one of the answers.
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Socorro
5 months ago
Got it, the three correct answers are B, C, and E. MLR is best used when there's uncertainty in the slope, multiple X's related to Y, and the X's are independent of each other.
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Alex
5 months ago
Ah, the uncertainty in the slope of the linear relationship is an interesting one. I'll need to remember that MLR can handle that scenario well.
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Galen
5 months ago
Okay, I see the key is that MLR is used when there are relationships between the output Y and multiple input X's. That makes sense, I'll make sure to select those options.
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Lezlie
5 months ago
Hmm, I'm a bit unsure about the non-linear relationships part. Does that mean MLR is good for non-linear relationships, or that it's not the best approach? I'll have to think that one through.
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Laurena
5 months ago
This looks like a straightforward multiple linear regression question. I'll focus on identifying the key characteristics that make MLR the best approach.
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Keith
5 months ago
Hmm, the question is asking about the block size, and the command shows the mkfs tool being used to create a VxFS file system. I think I can use that information to narrow down the possible block size options and make an educated guess.
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Dahlia
5 months ago
IP Event Dampening sounds familiar, but isn't that more for managing routes over time? I'm leaning towards option D about the SLA probe.
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Norah
5 months ago
This seems like a straightforward question about menu management. I'll carefully read through the options and think through the likely outcome of saving a modified menu with a new name.
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Jina
10 months ago
I'm going with C, E, and maybe B. Gotta love those tricky regression questions!
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Chantell
9 months ago
I'm not sure about B, but C and E make sense to me.
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Derrick
9 months ago
I agree, B could also be one of the correct answers.
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Desmond
9 months ago
I think C and E are definitely correct.
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Barrett
10 months ago
Haha, D is a trick question. Why would we want to prevent a designed experiment? That's just silly.
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Pearline
10 months ago
Definitely C, that's the key use case for MLR. I'm not sure about the other two, though.
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Tresa
9 months ago
E) We assume that the X's are independent of each other
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Cristal
9 months ago
A) Non-linear relationships between the inputs X's and output Y
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Matthew
9 months ago
C) Relationships between Y (output) and more than one X (Input)
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Sylvie
10 months ago
I'm not sure about option D, preventing the use of a Designed Experiment seems unrelated to MLR. But I agree with B, C, and E.
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Elly
10 months ago
I'm torn between A and C. I thought MLR was only for linear relationships, not non-linear ones.
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Mickie
9 months ago
C) Relationships between Y (output) and more than one X (Input)
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Jolene
9 months ago
A) Non-linear relationships between the inputs X's and output Y
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Arthur
11 months ago
I agree with Pearlie, MLR is best used when there are uncertainties in the slope, multiple inputs, and the inputs are independent.
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Elenora
11 months ago
C, D, and E seem to be the correct answers. MLR is useful when there are multiple inputs that can influence the output.
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Evangelina
9 months ago
E) We assume that the X's are independent of each other
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Lang
9 months ago
D) Preventing the use of a Designed Experiment if unnecessary
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Lili
9 months ago
C) Relationships between Y (output) and more than one X (Input)
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Pearlie
11 months ago
I think the correct answers are B, C, and E.
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