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PRMIA Exam 8007 Topic 1 Question 86 Discussion

Actual exam question for PRMIA's 8007 exam
Question #: 86
Topic #: 1
[All 8007 Questions]

A simple linear regression is based on 100 data points. The total sum of squares is 1.5 and the correlation between the dependent and explanatory variables is 0.5. What is the explained sum of squares?

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Suggested Answer: D

by Fidelia at Sep 17, 2024, 01:10 PM

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Leslie
23 days ago
The correlation coefficient is 0.5, so the explained sum of squares has to be 0.75. Easy peasy lemon squeezy!
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Mel
24 days ago
This is a pretty straightforward regression question. I'm confident that the answer is D) 0.375.
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Mariann
27 days ago
C) 0.3333 seems like the correct answer to me. The explained sum of squares is the total sum of squares multiplied by the square of the correlation coefficient, which is 0.5^2 = 0.25.
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Jani
28 days ago
I'm going with B) 1.125. The explained sum of squares is the total sum of squares multiplied by the square of the correlation coefficient.
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Joesph
19 hours ago
I'm going with B) 1.125.
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Colton
7 days ago
Actually, I calculated it to be C) 0.3333. I think that's the right answer.
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Huey
9 days ago
I agree with you, I also calculated it to be A) 0.75.
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Joesph
14 days ago
I think it's A) 0.75.
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Adrianna
22 days ago
I think the correct answer is A) 0.75.
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Tequila
1 months ago
I'm not sure, but I think I would go with option A) 0.75 as well.
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Chaya
2 months ago
I agree with Jody, the correlation is 0.5 so it makes sense.
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Jody
2 months ago
I think the explained sum of squares is 0.75.
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Bernardine
2 months ago
Hmm, I think the explained sum of squares should be 0.75. The correlation coefficient squared gives the proportion of the total variance that is explained by the regression.
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Izetta
2 months ago
Yes, the correlation coefficient squared is 0.5 squared, which equals 0.25. So, 0.25 * 1.5 = 0.75.
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Colette
2 months ago
I agree, the explained sum of squares should be 0.75.
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