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CIMAPRO19-P01-1 Exam - Topic 2 Question 121 Discussion

Actual exam question for CIMA's CIMAPRO19-P01-1 exam
Question #: 121
Topic #: 2
[All CIMAPRO19-P01-1 Questions]

A company is forecasting sales volume using time series analysis. The following equation has been derived from past data and is considered to be a reliable predictor of future sales volume:

y = 20,000+80x

Where y is the total sales units each quarter and x is the time period (the first quarter of year 1 is time period 1).

The following set of seasonal variations for each quarter has been calculated using the additive model.

What is the forecast sales units for the second quarter of year 3?

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Suggested Answer: A

by Bobbye at Jan 24, 2026, 02:40 AM

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Gene
15 days ago
I think it's tricky.
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Titus
20 days ago
I love how clear the equation is!
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Selma
25 days ago
Seems too simple, what if the market changes?
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Leonor
1 month ago
Wait, are we sure about those seasonal variations?
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Freeman
1 month ago
Totally agree, it's straightforward math.
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Rhea
1 month ago
Just plug in x=7 for Q2 of Year 3!
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Nida
2 months ago
Haha, I bet the answer is going to be something like "42" because that's the answer to everything, right?
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Dulce
2 months ago
Wait, is the second quarter of year 3 the same as the 9th quarter? I'm a bit confused on the time period.
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Detra
2 months ago
Okay, so we need to use the additive model to factor in the seasonal variations. This should be interesting!
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Raelene
2 months ago
The equation looks straightforward, but I'm not sure how to incorporate the seasonal variations.
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Helga
2 months ago
I recall that the formula gives us a base sales figure, but I need to make sure I apply the seasonal adjustment for Q2 properly.
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Agustin
2 months ago
I think I practiced a similar question where we had to adjust the forecast based on seasonal factors. I should double-check if I did it correctly.
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Vicky
3 months ago
I'm a bit unsure about how to apply the seasonal variations to the base forecast. Did we add or subtract those variations?
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Adell
3 months ago
I remember that to find the forecast for the second quarter of year 3, I need to plug in the right value for x, which should be 7.
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Albina
4 months ago
I'm a bit confused on how to use the seasonal variations. Do I need to multiply the equation result by the seasonal variation, or just add it? I want to make sure I get this right.
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Ceola
4 months ago
Okay, let me think this through step-by-step. The equation is y = 20,000 + 80x, and the time period for the second quarter of year 3 is 9. So I'll plug that in: y = 20,000 + 80(9) = 20,720. Then I need to add the seasonal variation for the second quarter, which is 1,200. So the final answer is 20,720 + 1,200 = 21,920 units.
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Natalie
4 months ago
I've got this! The time period for the second quarter of year 3 is 9, since the first quarter of year 1 is period 1. So I'll plug 9 into the equation: y = 20,000 + 80(9) = 20,720. Then I'll add the seasonal variation for the second quarter, which is 1,200. So the forecast sales units is 20,720 + 1,200 = 21,920.
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Jolene
4 months ago
Hmm, this looks tricky. I'm not sure I fully understand how to use the seasonal variations. Do I just add the value for the second quarter to the result from the equation? Or do I need to do something else?
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Janey
4 months ago
Okay, let's see. The question gives us the equation for forecasting sales volume, and the seasonal variations for each quarter. I think I need to plug the time period for the second quarter of year 3 into the equation, and then add the corresponding seasonal variation.
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