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PRMIA Exam 8007 Topic 4 Question 80 Discussion

Actual exam question for PRMIA's 8007 exam
Question #: 80
Topic #: 4
[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

Contribute your Thoughts:

Elke
2 months ago
That makes sense, maybe it is 0.75 after all.
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Leah
2 months ago
But the correlation is 0.5, so it should be closer to 0.5.
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Virgie
2 months ago
Ah, yes, the old 'Why did the linear regression model cross the road?' joke. Classic. But I'm going with option D - 0.375. It just seems more intuitive to me.
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Deja
26 days ago
I agree with you, option D) 0.375 seems like the most logical choice.
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Howard
1 months ago
I believe it's C) 0.3333, that's my best guess.
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Billi
2 months ago
I'm leaning towards B) 1.125, but I'm not entirely sure.
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Denny
2 months ago
I think it's A) 0.75, based on the formula for explained sum of squares.
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Adelina
2 months ago
I agree with Sharen. The formula is just too straightforward to mess up. Although, I did hear a funny joke about linear regression the other day...
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Julie
1 months ago
C) 0.3333
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Cherry
2 months ago
A) 0.75
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Elke
2 months ago
I disagree, I believe it is 1.125.
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Sharen
2 months ago
Wait, isn't the explained sum of squares calculated as the correlation squared times the total sum of squares? That would make it 0.3333.
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Mitsue
2 months ago
Hmm, I think it might be 1.125. The correlation is 0.5, so the explained sum of squares should be half of the total sum of squares.
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Marguerita
2 months ago
B) 1.125
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Melynda
2 months ago
A) 0.75
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Leah
3 months ago
I think the explained sum of squares is 0.75.
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Jesusa
3 months ago
I'm pretty sure the explained sum of squares is 0.75. That's what I learned in my statistics class.
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Launa
2 months ago
Yes, it is 0.75.
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Isabella
2 months ago
I agree, the explained sum of squares is 0.75.
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Billi
2 months ago
I think it's 0.75.
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