IASSC Exam ICGB Topic 9 Question 36 Discussion

Actual exam question for IASSC's ICGB exam

Question #: 36
Topic #: 9

[All ICGB Questions]

Which statement(s) are correct for the Regression Analysis shown here? (Note: There are 2 correct answers).

AThis Regression is an example of a Multiple Linear Regression.

BThis Regression is an example of Cubic Regression.

C%Cu explains the majority of the process variance in heat flux.

DThickness explains over 80% of the process variance in heat flux.

EThe number of Residuals in this Regression Analysis is 26.

Show Suggested Answer

Suggested Answer: A

by Howard at Dec 07, 2022, 11:58 PM

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Franklyn

2 months ago

Wait, is this a trick question? Are they trying to see if we're paying attention to the number of residuals? That's just cruel!

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Raylene

16 days ago

I know, it does seem like a trick question with that detail about the number of residuals!

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Shelton

19 days ago

D) Thickness explains over 80% of the process variance in heat flux.

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Samira

1 months ago

A) This Regression is an example of a Multiple Linear Regression.

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Doretha

2 months ago

I'm with Yuonne on this one. The R-squared values for %Cu and Thickness seem to indicate they are the key drivers of heat flux. Time to brush up on my regression analysis!

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Vincent

6 days ago

Yes, it seems like %Cu and Thickness are the key drivers of heat flux in this analysis.

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Ashlee

2 months ago

I agree, the R-squared values for %Cu and Thickness are high.

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Kristel

2 months ago

Wow, this is a tough one! I'm going to have to think carefully about the relationships between the variables to nail this down.

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Glenna

1 months ago

User 2: I agree, A) and D) seem to be the correct statements.

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Weldon

2 months ago

User 1: I think A) and D) are correct.

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Rebecka

2 months ago

B is definitely not correct. This is a linear regression, not a cubic one. And E is wrong too - the number of residuals should be equal to the number of data points.

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