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IASSC Exam ICGB Topic 6 Question 40 Discussion

Actual exam question for IASSC's ICGB exam
Question #: 40
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: B

by Gary at Feb 24, 2023, 12:57 AM

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Fletcher
3 months ago
Multiple linear regression, huh? Sounds like something you'd use to predict how many coffees I'll need to get through the day. Count me in!
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Ciara
2 months ago
E) We assume that the X's are independent of each other
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Melodie
2 months ago
C) Relationships between Y (output) and more than one X (Input)
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Georgene
2 months ago
E) We assume that the X's are independent of each other
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Stevie
2 months ago
C) Relationships between Y (output) and more than one X (Input)
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Pauline
2 months ago
A) Non-linear relationships between the inputs X's and output Y
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Dorothea
3 months ago
A) Non-linear relationships between the inputs X's and output Y
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Desiree
4 months ago
Hmm, option B is a bit tricky. I guess it could be correct if you're trying to quantify the uncertainty in the slopes. But C and E are the real winners here.
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Fannie
2 months ago
Definitely, all three options are essential for applying MLR effectively.
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Mauricio
2 months ago
I think option E is important too, assuming the X's are independent helps with the analysis.
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Lonny
2 months ago
Yeah, having relationships between Y and more than one X is crucial for MLR.
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Hortencia
2 months ago
User 3: I think option E is also key, assuming the X's are independent of each other.
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Hobert
2 months ago
User 2: Yeah, having relationships between Y and more than one X is crucial.
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Hyun
2 months ago
I agree, option C is definitely a key factor in using MLR.
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Dean
2 months ago
True, all three options C, E, and B play a significant role in using MLR effectively.
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Markus
2 months ago
I think option E is also important because we assume the X's are independent of each other.
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Polly
3 months ago
User 1: I agree, option C is definitely important for using MLR.
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Deeanna
3 months ago
Yeah, having relationships between Y and more than one X is crucial for MLR.
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Justine
3 months ago
I agree, option C is definitely a key factor in using MLR.
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Jacinta
4 months ago
This is an easy one. C and E are clearly the right answers. Although, option D is just silly - who would want to prevent a designed experiment?
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Carlee
3 months ago
Yeah, D does seem unnecessary. C and E make more sense.
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Cecily
3 months ago
I agree, C and E are definitely the correct answers.
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Dianne
4 months ago
I'm not sure about option A. Isn't MLR supposed to be for linear relationships? Either way, C and E are definitely correct.
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Clement
4 months ago
Multiple linear regression is definitely the way to go when you have more than one input variable. Options C and E seem spot on to me.
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Emile
2 months ago
Exactly, that's why option C and E are the correct answers for when MLR is best used.
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Eura
3 months ago
It's important to remember that in MLR, we assume the X's are independent of each other.
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Lyla
3 months ago
Definitely, it helps capture the relationships between multiple X's and the output Y.
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Vallie
3 months ago
I agree, having multiple input variables is where MLR shines.
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Stanford
4 months ago
I also think MLR is useful when there is uncertainty in the slope of the linear relationship between X and Y.
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Anabel
4 months ago
I agree with Kristel. It helps capture the combined effect of multiple variables on the output.
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Kristel
4 months ago
I think MLR is best used when there are relationships between Y and more than one X.
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