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CIMAPRA17-BA1-1 Exam - Topic 1 Question 69 Discussion

Actual exam question for CIMA's CIMAPRA17-BA1-1 exam
Question #: 69
Topic #: 1
[All CIMAPRA17-BA1-1 Questions]

rson's correlation coefficient between the number of shirts sold per day (x) and the number of jackets sold per day (y), across its eight stores (n=8).

What is the Pearson's correlation coefficient? Give your answer to two decimal places.

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Suggested Answer: C

by Hubert at Apr 19, 2023, 03:09 PM

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Winifred
5 months ago
Definitely not 0.83, that feels too low for this trend.
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Leonida
5 months ago
Wow, I didn’t expect such a strong correlation!
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An
6 months ago
0.86 seems a bit high, doesn’t it?
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Beckie
6 months ago
I disagree, I feel like it’s closer to 0.85.
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Shawnta
6 months ago
I think it’s around 0.84 based on the data.
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Cristal
6 months ago
I definitely need to double-check my calculations, but I think 0.85 sounds familiar from my practice sessions.
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Truman
6 months ago
I feel like I might be mixing up the values; I thought the correlation was supposed to be higher, maybe around 0.86?
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Paris
6 months ago
I think I saw a similar question in our last mock exam, and I want to say the answer was around 0.84.
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Dell
6 months ago
I remember practicing correlation coefficients, but I'm not sure if I calculated it correctly for this scenario.
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Marvel
6 months ago
I'm a little confused by the question. Is HAVING really an option here? That doesn't seem like the right tool for the job. I'll have to think this through carefully and review my SQL knowledge.
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Joaquin
6 months ago
Okay, I've got this! The key is to focus on the relationship between the queen and the people surrounding her. I think the answer is C - "carefully".
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Blair
6 months ago
I remember chaining procedures focus on sequences of behavior. This feels more like a structured plan, so maybe it's the intervention plan?
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Felix
6 months ago
Looks like a good opportunity to demonstrate my knowledge of Kubernetes security best practices. I'll make sure to thoroughly address each violation and provide the appropriate fixes.
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Markus
7 months ago
I think the key here is that Pacific Suites, as the parent company, should have ensured its existing data access and storage procedures were integrated into PHT's system. That seems like the most comprehensive approach to protecting the sensitive information.
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Rosina
11 months ago
Maybe they should start selling shirts and jackets as a package deal. That would really boost the correlation!
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Merilyn
10 months ago
Definitely worth considering for increasing overall sales.
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Susy
10 months ago
I agree, it's a smart strategy to boost correlation between the two.
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Verdell
10 months ago
I think so too. People love deals and bundles.
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Evangelina
10 months ago
That's a good idea! It could definitely increase sales.
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Val
11 months ago
I bet the store manager is regretting not selling socks too. Then we'd have a triple correlation!
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Howard
11 months ago
Easy peasy, the answer is D) 0.86. Just look at that graph - the points are practically lined up! I could calculate this in my head.
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Dominque
10 months ago
The graph makes it so clear that the correlation coefficient is 0.86. It's a strong relationship between the two variables.
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Casandra
10 months ago
It's amazing how strong the correlation is between shirts and jackets sales. 0.86 is a high coefficient.
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Tiffiny
10 months ago
I agree, the correlation coefficient is 0.86. The points are very close to forming a perfect line.
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Candra
11 months ago
I'm torn between C) 0.85 and D) 0.86. The data seems to have a strong positive correlation, but I'll go with the lower value just to be safe.
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Francene
10 months ago
I would go with C) 0.85 as well. It's better to err on the side of caution.
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Mirta
10 months ago
I agree, it's always better to be cautious with these types of calculations.
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Santos
11 months ago
I think C) 0.85 is a safe choice. It's better to go with the lower value.
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Shalon
12 months ago
Hmm, the graph looks a bit scattered, but I'm going with C) 0.85. That seems like a reasonable correlation coefficient given the overall trend.
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Ligia
10 months ago
I'm leaning towards D) 0.86. The points are not perfectly aligned, but there is a clear positive relationship.
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Dorsey
10 months ago
I'm going with B) 0.84. The points are somewhat scattered, but there seems to be a positive trend.
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Phung
10 months ago
I agree with you, I also think it's A) 0.83. The correlation looks strong.
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Mitsue
10 months ago
I think it's A) 0.83. The points seem to be clustered around a line.
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Reita
10 months ago
I think it's A) 0.83. The points are a bit spread out, but there seems to be a positive relationship.
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Carry
10 months ago
I'm going with D) 0.86. The points seem to have a clear positive trend.
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Reita
11 months ago
I agree with you, I also think it's B) 0.84. The correlation looks pretty strong.
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Maricela
11 months ago
I think it's B) 0.84. The points seem to be clustered around a line.
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Ty
12 months ago
I got 0.85 as the Pearson's correlation coefficient, so I would choose option C.
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Brice
12 months ago
I agree with Jesusa, I also calculated it to be 0.84.
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Jesusa
1 year ago
I think the Pearson's correlation coefficient is 0.84.
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Jame
1 year ago
I think the answer is B) 0.84. The scatterplot shows a positive linear relationship between the number of shirts and jackets sold, and the data points seem to cluster around a straight line.
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Dustin
10 months ago
Yes, it looks like option B) 0.84 is the correct answer based on the scatterplot.
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Josephine
10 months ago
That makes sense, the data points do seem to follow a straight line pattern.
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Lawana
11 months ago
I think the correlation coefficient is 0.84, which matches option B.
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Claribel
12 months ago
I agree, the scatterplot does show a positive linear relationship between shirts and jackets sold.
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