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APICS CPIM-BSP Exam - Topic 3 Question 118 Discussion

Actual exam question for APICS's CPIM-BSP exam
Question #: 118
Topic #: 3
[All CPIM-BSP Questions]

Which of the following calculations is a major component that is used with extrinsic forecasting?

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Suggested Answer: D

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Margurite
2 months ago
B) Exponential smoothing makes sense. It adjusts for trends well.
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Dominic
3 months ago
I prefer A) Moving average. It's straightforward and reliable.
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Filiberto
3 months ago
Wait, I didn’t realize economic indicators were so crucial!
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Stevie
3 months ago
I’m not sure about that, seems like B) Exponential smoothing could fit too.
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Alethea
3 months ago
C) A seasonal index is also important!
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Pearlene
3 months ago
I thought it was A) Moving average.
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Solange
3 months ago
Definitely D) An economic indicator!
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Tiera
4 months ago
Extrinsic forecasting, huh? Sounds like a fancy way of saying "looking outside the box." I'll go with B on this one.
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Tammara
4 months ago
Hmm, I'm torn between B and D. Exponential smoothing and economic indicators both play important roles in extrinsic forecasting.
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Twila
4 months ago
Definitely B. Exponential smoothing is a key technique in extrinsic forecasting.
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Gerardo
4 months ago
I think the correct answer is D. An economic indicator is a major component used in extrinsic forecasting.
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Dustin
4 months ago
Economic indicators seem relevant, but I wonder if they are considered a major component in the context of this question.
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Adria
4 months ago
I feel like seasonal indices were part of our discussions, but I can't remember if they were classified as extrinsic or intrinsic.
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Ryann
5 months ago
I think it's D) An economic indicator. It really drives forecasts.
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Florinda
5 months ago
I remember practicing with exponential smoothing, but I can't recall if it was specifically tied to extrinsic forecasting or not.
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Elden
5 months ago
C) A seasonal index is important too, especially for seasonal products.
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Malcolm
5 months ago
I'm going with C. A seasonal index is crucial for extrinsic forecasting, especially in industries with seasonal trends.
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Corrinne
5 months ago
I think moving averages were mentioned a lot in our study sessions, but I'm not entirely sure if it's the main component for extrinsic forecasting.
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Anastacia
6 months ago
I'm a bit confused on the difference between the options here. I know extrinsic forecasting looks at external factors, but I'm not sure which specific calculation would be considered a major component. I'll have to think about this one more.
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Annette
6 months ago
I remember learning about extrinsic forecasting in class. I'm pretty sure it involves using economic data and models, so I'm leaning towards D as the best answer.
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Meaghan
6 months ago
Okay, let me think this through. Extrinsic forecasting means using outside data, so I'm guessing it's not a moving average or seasonal index since those are more internal calculations. I'll go with D, an economic indicator.
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Jannette
6 months ago
Hmm, I'm not totally sure about this one. I know extrinsic forecasting involves looking at external factors, but I'm not confident which specific calculation is a major component.
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Jina
7 months ago
I think the answer is B. Exponential smoothing is a key technique used in extrinsic forecasting.
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Alyce
1 month ago
But B is definitely a strong choice!
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Lavera
1 month ago
C is important for seasonal trends.
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Karan
1 month ago
What about D? Economic indicators are crucial too.
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Lisha
2 months ago
I think A could also be a contender.
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Anastacia
2 months ago
I agree, B seems right.
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