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PRMIA Exam 8007 Topic 3 Question 82 Discussion

Actual exam question for PRMIA's 8007 exam
Question #: 82
Topic #: 3
[All 8007 Questions]

Your stockbroker randomly recommends stocks to his clients from a tip sheet he is given each day. Today, his tip sheet has 3 common stocks and 5 preferred stocks from Asian companies and 3 common stocks and 5 preferred stocks from European companies. What is the probability that he will recommend a common stock AND/OR a European stock to you when you call and ask for one stock to buy today?

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Suggested Answer: B

by Cornell at Sep 14, 2024, 08:16 PM

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Grover
6 months ago
Autocorrelation, heteroskedasticity... Sounds like a bunch of fancy stats jargon to me. I just want to know which answer will get me the most points on the test!
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Laquanda
5 months ago
D) Using an inappropriate functional form in the model
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Dahlia
5 months ago
C) The omission of a relevant explanatory variable
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Rochell
5 months ago
B) A high positive correlation between two explanatory variables
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Frederic
6 months ago
I'm going with A. A structural break in the dependent variable is unlikely to be a direct cause of these statistical problems.
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Haydee
6 months ago
Hmm, I'm not sure about this one. Maybe C? Omitting a relevant variable could cause all sorts of problems.
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Gerardo
5 months ago
User 3: I'm not so sure, I think it might be D. Using an inappropriate functional form could also lead to problems.
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Han
5 months ago
User 2: I agree, that seems like a plausible explanation.
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Abraham
6 months ago
User 1: I think it could be C, omitting a relevant variable sounds like it could cause issues.
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Edelmira
6 months ago
Hmm, that's a good point. It could definitely lead to autocorrelation or heteroskedasticity in the residuals.
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Paris
7 months ago
I disagree, I believe it is D) Using an inappropriate functional form in the model.
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Ressie
7 months ago
D seems like the correct answer to me. Using an inappropriate functional form can definitely lead to these issues.
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Loreen
6 months ago
Agreed, it's important to choose the right functional form in regression models.
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Beth
6 months ago
Yeah, using an inappropriate functional form can cause problems.
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Meaghan
6 months ago
I think D is the correct answer too.
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Edelmira
7 months ago
I think the answer is B) A high positive correlation between two explanatory variables.
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Lonna
7 months ago
I think the answer is B. A high positive correlation between two explanatory variables doesn't cause autocorrelation or heteroskedasticity.
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Royal
6 months ago
You're welcome!
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Laquita
6 months ago
Oh, I see. Thanks for clarifying.
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Yvonne
6 months ago
No, it's actually D. Using an inappropriate functional form can cause those issues.
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Shawn
7 months ago
I think the answer is B.
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