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IASSC ICGB Exam - Topic 6 Question 92 Discussion

Multiple Linear Regressions (MLR) is best used when which of these are applicable? (Note: There are 3 correct answers).
C) Relationships between Y (output) and more than one X (Input) and D) Preventing the use of a Designed Experiment if unnecessary and E) We assume that the X's are independent of each other
A) Non-linear relationships between the inputs X's and output Y
B) Uncertainty in the slope of the linear relationship between an X and a Y

IASSC ICGB Exam - Topic 6 Question 92 Discussion

Actual exam question for IASSC's ICGB exam
Question #: 92
Topic #: 6
[All ICGB 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: C, D, E

by Linwood at Nov 23, 2025, 07:45 PM

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Justine
4 months ago
I like E as well. Independence of X's helps in accurate predictions.
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Mauricio
4 months ago
I don’t think A fits. MLR is for linear relationships, not non-linear.
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Pansy
4 months ago
I’m leaning towards B too. Uncertainty in slope is a real issue in MLR.
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Tamie
4 months ago
Agreed, C is crucial. But I also feel E is important. Independence matters.
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Donte
4 months ago
I think C is definitely one of the answers. More than one X is key.
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Darrin
4 months ago
Totally agree with A, but I’m skeptical about it being a fit for all cases.
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Juliann
5 months ago
D seems a bit off to me, not sure about that one.
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Floyd
5 months ago
Wait, can MLR really handle non-linear relationships?
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Marylin
5 months ago
I think E is also a must-have for MLR.
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Albina
6 months ago
Haha, D? Really? That's like saying multiple linear regression is best used when you want to prevent a designed experiment. What a joke!
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Buck
6 months ago
A, B, and C seem like the obvious choices here. I'm not even sure what D is asking.
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Geraldo
6 months ago
C, D, and E for sure. Who would choose D though? That's just silly.
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Gretchen
6 months ago
Hmm, I think A, B, and C are the right ones. Multiple linear regression can handle non-linear relationships, right?
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Dante
6 months ago
C, D, and E are the correct answers. I'm pretty sure about that.
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Tatum
6 months ago
I feel like B could be a tricky one; I think uncertainty in the slope might not directly relate to when we use MLR, but I’m not completely confident.
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Sophia
7 months ago
I practiced a question similar to this, and I believe E is also correct because we need the X's to be independent for MLR to work properly.
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Ashley
7 months ago
I'm not entirely sure, but I think A might be wrong since MLR assumes linear relationships, right?
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Lynette
7 months ago
Okay, I think I've got it. MLR is best used when you have relationships between the output Y and multiple inputs X, which is C. It can also handle non-linear relationships between the X's and Y, which is A. And the independence of the X's, which is E, is another key assumption. I'm feeling good about those three choices.
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Refugia
7 months ago
I remember that MLR is mainly used for relationships involving multiple predictors, so I think C is definitely one of the correct answers.
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Marta
7 months ago
I feel pretty confident about this one. MLR is all about handling multiple predictors, so C is for sure correct. And the question specifies that there are 3 right answers, so I'm guessing B and E are the other two. I'll mark those down and move on.
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Leota
7 months ago
C is definitely one of the correct answers!
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Viola
8 months ago
D seems off to me. MLR can be used even if experiments are designed.
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Mary
8 months ago
Whoa, this is a lot to unpack. I'm a little lost on some of these options. What does "preventing the use of a Designed Experiment" even mean? And the independence of the X's - is that really a requirement for MLR? I'm going to have to review my notes on the assumptions before answering this one.
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Dahlia
8 months ago
Okay, let's see. I know MLR is used for multiple inputs, so C is definitely one of the correct answers. And the question mentions non-linear relationships, so A could be another one. But I'm not sure about the other options - I'll have to think through those a bit more.
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Haydee
8 months ago
Hmm, this one seems tricky. I think the key is to focus on the "best used when" part of the question. That's probably hinting at the specific conditions where MLR is the most appropriate approach.
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Cherry
3 months ago
D makes sense too. Avoiding unnecessary experiments is smart!
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Tiara
3 months ago
I’m not sure about A. Non-linear relationships seem off for MLR.
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Annice
3 months ago
What about E? Independence of X's is crucial.
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Lawrence
3 months ago
Agreed! Multiple inputs are key for MLR.
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Ilda
3 months ago
I think C is definitely one of the correct answers.
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