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

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

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.

Suggested Answer: C

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45 comments · newest first
WI
Winifred 12 months ago
Definitely not 0.83, that feels too low for this trend.
LE
Leonida 12 months ago
Wow, I didn’t expect such a strong correlation!
AN
An 1 year ago
0.86 seems a bit high, doesn’t it?
BE
Beckie 1 year ago
I disagree, I feel like it’s closer to 0.85.
SH
Shawnta 1 year ago
I think it’s around 0.84 based on the data.
CR
Cristal 1 year ago
I definitely need to double-check my calculations, but I think 0.85 sounds familiar from my practice sessions.
TR
Truman 1 year ago
I feel like I might be mixing up the values; I thought the correlation was supposed to be higher, maybe around 0.86?
PA
Paris 1 year ago
I think I saw a similar question in our last mock exam, and I want to say the answer was around 0.84.
DE
Dell 1 year ago
I remember practicing correlation coefficients, but I'm not sure if I calculated it correctly for this scenario.
MA
Marvel 1 year 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.
JO
Joaquin 1 year 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".
BL
Blair 1 year ago
I remember chaining procedures focus on sequences of behavior. This feels more like a structured plan, so maybe it's the intervention plan?
FE
Felix 1 year 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.
MA
Markus 1 year 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.
RO
Rosina 1 year ago
Maybe they should start selling shirts and jackets as a package deal. That would really boost the correlation!
ME
Merilyn 1 year ago
↳ replying to Rosina
Definitely worth considering for increasing overall sales.
SU
Susy 1 year ago
↳ replying to Rosina
I agree, it's a smart strategy to boost correlation between the two.
VE
Verdell 1 year ago
↳ replying to Rosina
I think so too. People love deals and bundles.
EV
Evangelina 1 year ago
↳ replying to Rosina
That's a good idea! It could definitely increase sales.
VA
Val 1 year ago
I bet the store manager is regretting not selling socks too. Then we'd have a triple correlation!
HO
Howard 1 year 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.
DO
Dominque 1 year ago
↳ replying to Howard
The graph makes it so clear that the correlation coefficient is 0.86. It's a strong relationship between the two variables.
CA
Casandra 1 year ago
↳ replying to Howard
It's amazing how strong the correlation is between shirts and jackets sales. 0.86 is a high coefficient.
TI
Tiffiny 1 year ago
↳ replying to Howard
I agree, the correlation coefficient is 0.86. The points are very close to forming a perfect line.
CA
Candra 1 year 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.
FR
Francene 1 year ago
↳ replying to Candra
I would go with C) 0.85 as well. It's better to err on the side of caution.
MI
Mirta 1 year ago
↳ replying to Candra
I agree, it's always better to be cautious with these types of calculations.
SA
Santos 1 year ago
↳ replying to Candra
I think C) 0.85 is a safe choice. It's better to go with the lower value.
SH
Shalon 2 years 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.
LI
Ligia 1 year ago
↳ replying to Shalon
I'm leaning towards D) 0.86. The points are not perfectly aligned, but there is a clear positive relationship.
DO
Dorsey 1 year ago
↳ replying to Shalon
I'm going with B) 0.84. The points are somewhat scattered, but there seems to be a positive trend.
PH
Phung 1 year ago
↳ replying to Shalon
I agree with you, I also think it's A) 0.83. The correlation looks strong.
MI
Mitsue 1 year ago
↳ replying to Shalon
I think it's A) 0.83. The points seem to be clustered around a line.
RE
Reita 1 year ago
↳ replying to Shalon
I think it's A) 0.83. The points are a bit spread out, but there seems to be a positive relationship.
CA
Carry 1 year ago
↳ replying to Shalon
I'm going with D) 0.86. The points seem to have a clear positive trend.
RE
Reita 1 year ago
↳ replying to Shalon
I agree with you, I also think it's B) 0.84. The correlation looks pretty strong.
MA
Maricela 1 year ago
↳ replying to Shalon
I think it's B) 0.84. The points seem to be clustered around a line.
TY
Ty 2 years ago
I got 0.85 as the Pearson's correlation coefficient, so I would choose option C.
BR
Brice 2 years ago
I agree with Jesusa, I also calculated it to be 0.84.
JE
Jesusa 2 years ago
I think the Pearson's correlation coefficient is 0.84.
JA
Jame 2 years 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.
DU
Dustin 1 year ago
↳ replying to Jame
Yes, it looks like option B) 0.84 is the correct answer based on the scatterplot.
JO
Josephine 1 year ago
↳ replying to Jame
That makes sense, the data points do seem to follow a straight line pattern.
LA
Lawana 1 year ago
↳ replying to Jame
I think the correlation coefficient is 0.84, which matches option B.
CL
Claribel 2 years ago
↳ replying to Jame
I agree, the scatterplot does show a positive linear relationship between shirts and jackets sold.
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