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CIMA Exam CIMAPRA17-BA1-1 Topic 1 Question 82 Discussion

Actual exam question for CIMA's CIMAPRA17-BA1-1 exam
Question #: 82
Topic #: 1
[All CIMAPRA17-BA1-1 Questions]

Based on the past twenty months, an event decorating company develops a trend equation for forecasting sales revenue (y) where y = 4.38 + 1.32x.

If month 21 has a seasonal factor of times 1.07, then what is the forecast for the month, using a multiplicative model? Give your answer to two decima places.

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Suggested Answer: A

Contribute your Thoughts:

Janine
1 months ago
Woohoo, time to put my mad math skills to the test! This is gonna be a piece of cake. (Or is it pie? I can never remember.)
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Rana
2 days ago
I agree, the forecast for the month using a multiplicative model is 44.44
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Troy
4 days ago
I think the answer is C) 44.44
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Nguyet
1 months ago
I bet the answer is 44.44. It just sounds right, you know? But I should probably double-check my work just in case.
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Ashley
11 days ago
I'm not so sure, I calculated it and got 54.54. Maybe we should double-check our work.
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Jeannetta
18 days ago
I think the answer is 44.44 too. It does seem like the most logical choice.
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Bernardine
1 months ago
Well, this is making my brain hurt. I hope I can remember the right formula for the multiplicative model.
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Demetra
12 days ago
That's correct! The answer is C) 44.44.
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Ocie
17 days ago
So, the forecast for month 21 would be 44.44.
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Leanora
1 months ago
I think we need to use the formula y = (4.38 + 1.32x) * 1.07 for the multiplicative model.
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Curtis
2 months ago
Okay, let's see... The trend equation is y = 4.38 + 1.32x, and the seasonal factor is 1.07. Time to plug and chug!
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Elden
25 days ago
So, y = 4.38 + 1.32 * 21 = 4.38 + 27.72 = 32.10
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Cory
1 months ago
I think we need to plug in x = 21 into the trend equation first.
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Terry
2 months ago
Hmm, this looks like a tricky one. I'll need to carefully work through the math to get the right answer.
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Bernardo
2 months ago
I calculated it too, and I also got B) 54.54 as the forecast.
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Shoshana
2 months ago
I agree with Lilli, the seasonal factor of 1.07 should increase the forecast.
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Lilli
2 months ago
I think the answer is B) 54.54.
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