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IASSC ICBB Exam - Topic 4 Question 93 Discussion

A valid Multiple Linear Regression (MLR) is characterized by all of these except?
D) MLR is conducted based on a deliberate form of experimentation
A) It is an assumption that the X's (inputs) are not correlated to each other
B) The X's (inputs) are assumed to be independent of each other
C) The Residuals from MLR analysis have to be Normally Distributed
E) It is not possible to evaluate interactions in a MLR analysis

IASSC ICBB Exam - Topic 4 Question 93 Discussion

Actual exam question for IASSC's ICBB exam
Question #: 93
Topic #: 4
[All ICBB Questions]

A valid Multiple Linear Regression (MLR) is characterized by all of these except?

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Suggested Answer: D

by Micaela at Jul 08, 2025, 11:31 AM

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Brigette
8 months ago
I thought correlation between X's was okay sometimes, isn't that true?
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Argelia
9 months ago
Wait, are you saying we can't evaluate interactions in MLR? That seems off.
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Willow
9 months ago
I think D is the odd one out here.
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Tijuana
9 months ago
Totally agree, C is also a must-have for valid MLR.
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Josefa
9 months ago
The X's need to be independent, that's a key point!
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Frankie
10 months ago
I vaguely remember something about evaluating interactions in MLR, but I'm not confident if that's completely impossible or just more complex.
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Wilson
10 months ago
I feel like option D might be the odd one out since MLR can be applied to observational data too, not just experiments.
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Leah
10 months ago
I remember practicing a question where we discussed the normal distribution of residuals, but I can't recall if that's a strict requirement for MLR.
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Thersa
10 months ago
I think the assumption about the X's not being correlated is important, but I'm not sure if that's the same as saying they have to be independent.
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Polly
11 months ago
Interactions in MLR? That's an interesting one. I'll make sure to consider that in my answer.
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Hyman
11 months ago
Okay, I think the key here is to focus on the "except" part of the question. Gotta find the one assumption that doesn't hold true.
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Fannie
11 months ago
I'm a bit confused on the difference between correlated and independent variables in MLR. Gotta review that.
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Kathryn
11 months ago
I'm pretty confident I know the answer to this one. Let me double-check the options.
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Freeman
11 months ago
Hmm, this one seems tricky. I'll need to think carefully about the assumptions of MLR.
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