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Multiple Linear Regressions (MLR) is best used when which of these are applicable? (Note: There are 3 correct answers).
Suggested Answer: B
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36 comments · newest first
PO
Polly
11 months ago
Totally agree with C, it’s all about multiple inputs!
YA
Yaeko
11 months ago
I thought MLR was for linear relationships only!
VE
Vesta
11 months ago
B and E are also valid, right?
BR
Broderick
12 months ago
Wait, are we sure about A? Seems off.
JA
Jaime
12 months ago
C is definitely one of the correct answers!
OL
Olive
12 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.
HU
Hubert
1 year ago
I remember practicing questions where we discussed the independence of X's, so E seems like a valid choice for MLR.
AG
Agustin
1 year ago
I'm not sure about A; I thought MLR assumes linear relationships, but maybe it can handle some non-linear aspects too?
PO
Pok
1 year 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.
SO
Socorro
1 year 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.
AL
Alex
1 year 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.
GA
Galen
1 year 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.
LE
Lezlie
1 year 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.
LA
Laurena
1 year ago
This looks like a straightforward multiple linear regression question. I'll focus on identifying the key characteristics that make MLR the best approach.
KE
Keith
1 year 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.
DA
Dahlia
1 year 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.
NO
Norah
1 year 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.
JI
Jina
1 year ago
I'm going with C, E, and maybe B. Gotta love those tricky regression questions!
CH
Chantell
1 year ago
I'm not sure about B, but C and E make sense to me.
DE
Derrick
1 year ago
I agree, B could also be one of the correct answers.
DE
Desmond
1 year ago
I think C and E are definitely correct.
BA
Barrett
1 year ago
Haha, D is a trick question. Why would we want to prevent a designed experiment? That's just silly.
PE
Pearline
1 year ago
Definitely C, that's the key use case for MLR. I'm not sure about the other two, though.
TR
Tresa
1 year ago
E) We assume that the X's are independent of each other
CR
Cristal
1 year ago
A) Non-linear relationships between the inputs X's and output Y
MA
Matthew
1 year ago
C) Relationships between Y (output) and more than one X (Input)
SY
Sylvie
2 years 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.
EL
Elly
2 years ago
I'm torn between A and C. I thought MLR was only for linear relationships, not non-linear ones.
MI
Mickie
1 year ago
C) Relationships between Y (output) and more than one X (Input)
JO
Jolene
1 year ago
A) Non-linear relationships between the inputs X's and output Y
AR
Arthur
2 years ago
I agree with Pearlie, MLR is best used when there are uncertainties in the slope, multiple inputs, and the inputs are independent.
EL
Elenora
2 years ago
C, D, and E seem to be the correct answers. MLR is useful when there are multiple inputs that can influence the output.
EV
Evangelina
1 year ago
E) We assume that the X's are independent of each other
LA
Lang
1 year ago
D) Preventing the use of a Designed Experiment if unnecessary
LI
Lili
1 year ago
C) Relationships between Y (output) and more than one X (Input)
PE
Pearlie
2 years ago
I think the correct answers are B, C, and E.