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CIMA Exam CIMAPRA17-BA1-1 Topic 3 Question 105 Discussion

Actual exam question for CIMA's CIMAPRA17-BA1-1 exam
Question #: 105
Topic #: 3
[All CIMAPRA17-BA1-1 Questions]

Based on a trade balance between Country A and Country B over a ten year period, the underlying trend of the trade balance is represent equation

-114.027 -1.47x

where x is the time period expressed in years.

Assuming an additive forecasting model, with a seasonal factor of 82 6, then the forecast for year 2016, in whole units is:

Show Suggested Answer Hide Answer
Suggested Answer: A

by Glennis at Jan 11, 2025, 02:53 PM

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Scarlet
1 months ago
This question is making my head spin more than a fidget spinner. Time to put on my thinking cap and go with the most logical answer - C) -113768.
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Elmer
1 months ago
I'm going to choose A) -113968 because it's the farthest from the trend line, and that seems like the kind of thing they'd do to trip us up. Plus, who doesn't love a good underdog?
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Cheryl
6 days ago
I think I'll go with B) -113868, it seems like a safe bet.
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Linette
1 months ago
Wait, is this a trick question? What if the seasonal factor is supposed to be added instead of subtracted? I'm going to go with D) -113668 just to cover my bases.
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Elina
2 days ago
I agree with you, I think D) -113668 is the best choice in this case.
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Brock
6 days ago
I'm not sure about this one, but I'll go with C) -113768 just to be safe.
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Louisa
8 days ago
I see where you're coming from, but I'm going with B) -113868 as my answer.
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Cherry
12 days ago
I think the equation is correct, so I'm going with A) -113968.
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Crista
2 months ago
Hmm, the seasonal factor of 82.6 is interesting. I wonder if that affects the forecast in any way. I'll go with B) -113868 just to be safe.
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Jules
1 months ago
I agree, I also chose B) -113868 for the forecast.
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Marva
1 months ago
I think the seasonal factor does affect the forecast.
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Leonie
2 months ago
I'm not sure, but I'll go with A) -113968 as well.
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Margery
2 months ago
I agree with Eliseo, the rationale behind it makes sense.
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Bette
2 months ago
The equation given clearly shows a linear trend, so the forecast for year 2016 should be based on that. I think the answer is C) -113768.
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Karol
26 days ago
Yes, combining the linear trend equation and the seasonal factor leads to the forecast of C) -113768 for year 2016.
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Tracey
1 months ago
The seasonal factor of 82 6 should also be taken into account when calculating the forecast.
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James
1 months ago
I agree, the linear trend equation suggests that C) -113768 is the correct forecast for year 2016.
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Olive
2 months ago
I think the answer is C) -113768.
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Eliseo
2 months ago
I think the answer is A) -113968.
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