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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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Vicky
4 days 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
10 days 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
15 days 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
20 days 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
25 days 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
1 month 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
1 month 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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