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).

ANon-linear relationships between the inputs X's and output Y

BUncertainty in the slope of the linear relationship between an X and a Y

CRelationships between Y (output) and more than one X (Input)

DPreventing the use of a Designed Experiment if unnecessary

EWe assume that the X's are independent of each other

Show Suggested Answer

Suggested Answer: B

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

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Fletcher

1 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

1 days ago

E) We assume that the X's are independent of each other

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Melodie

5 days ago

C) Relationships between Y (output) and more than one X (Input)

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Georgene

6 days ago

E) We assume that the X's are independent of each other

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Stevie

9 days ago

C) Relationships between Y (output) and more than one X (Input)

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Pauline

19 days ago

A) Non-linear relationships between the inputs X's and output Y

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Dorothea

25 days ago

A) Non-linear relationships between the inputs X's and output Y

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Desiree

2 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

3 days ago

Definitely, all three options are essential for applying MLR effectively.

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Mauricio

4 days ago

I think option E is important too, assuming the X's are independent helps with the analysis.

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Lonny

9 days ago

Yeah, having relationships between Y and more than one X is crucial for MLR.

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Hortencia

13 days ago

User 3: I think option E is also key, assuming the X's are independent of each other.

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Hobert

15 days ago

User 2: Yeah, having relationships between Y and more than one X is crucial.

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Hyun

15 days ago

I agree, option C is definitely a key factor in using MLR.

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Dean

17 days ago

True, all three options C, E, and B play a significant role in using MLR effectively.

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Markus

18 days ago

I think option E is also important because we assume the X's are independent of each other.

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Polly

1 months ago

User 1: I agree, option C is definitely important for using MLR.

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Deeanna

2 months ago

Yeah, having relationships between Y and more than one X is crucial for MLR.

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Justine

2 months ago

I agree, option C is definitely a key factor in using MLR.

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Jacinta

2 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

1 months ago

Yeah, D does seem unnecessary. C and E make more sense.

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Cecily

1 months ago

I agree, C and E are definitely the correct answers.

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Dianne

2 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

2 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

22 days ago

Exactly, that's why option C and E are the correct answers for when MLR is best used.

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Eura

1 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

2 months ago

Definitely, it helps capture the relationships between multiple X's and the output Y.

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Vallie

2 months ago

I agree, having multiple input variables is where MLR shines.

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Stanford

2 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

3 months ago

I agree with Kristel. It helps capture the combined effect of multiple variables on the output.

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Kristel

3 months ago

I think MLR is best used when there are relationships between Y and more than one X.

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