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A forecasting method that responds slowly to changes in demand would be most appropriate when the historical demand pattern shows a major:
Suggested Answer: B
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29 comments · newest first
WI
Willis
10 months ago
Yeah, seasonal makes sense for slow responses.
DO
Domingo
11 months ago
Wait, are we sure about that? Seems off.
DA
Dalene
11 months ago
Cyclical changes can also be significant.
BI
Billye
11 months ago
I disagree, trends are more important here.
MA
Mabelle
11 months ago
Definitely a seasonal component!
YO
Yoko
12 months ago
I thought that random components are unpredictable, so a slow method wouldn't really fit there.
IR
Irene
12 months ago
I'm leaning towards cyclical components, but I feel like I might be mixing it up with trends.
YA
Yasuko
12 months ago
I remember practicing a question like this, and I think seasonal components require more responsive methods, right?
SC
Scarlet
1 year ago
I think a slow response method might be best for a trend component, but I'm not entirely sure.
DE
Desiree
1 year ago
Alright, let's see. A slow-responding forecasting method would be best for a demand pattern with a major trend component, right? That way it doesn't overreact to short-term fluctuations.
ST
Stephaine
1 year ago
I think the key here is to identify the demand pattern that would benefit most from a forecasting method that doesn't react quickly to changes. A seasonal component seems like the obvious choice.
BE
Ben
1 year ago
I'm a bit confused on this one. Is it looking for the demand pattern that would make a slow-responding forecasting method most appropriate? I'll have to review my notes on the different demand components.
TA
Tamekia
1 year ago
Hmm, this seems like a tricky one. I'll need to think carefully about the different demand patterns and how they would affect the forecasting method.
SU
Sunshine
1 year ago
Okay, I've got this. A forecasting method that responds slowly would be best for a demand pattern with a major seasonal component. The slow response helps smooth out the seasonal fluctuations.
EV
Eveline
1 year ago
Okay, I've got this. Automated Change Management is responsible for automatically updating things like need-by dates on purchase orders and changing the ship method on sales orders. I'm pretty confident those are the two correct functions listed here.
AN
Antonio
1 year ago
I'm leaning towards "Tags," but honestly, I'm having a hard time recalling the specifics and how they relate to spacing.
BE
Bernardine
1 year ago
Hmm, I'm not too familiar with YUM repositories and Oracle VM Manager. I'll need to think this through carefully.
KA
Kanisha
2 years ago
B is the way to go. If the demand is mostly random, then a slow-responding forecast can help filter out the noise and give a more accurate prediction. Although, it does sound a bit like a Magic 8-Ball approach to forecasting.
ME
Merri
2 years ago
Hmm, I'm torn between A and D. Seasonal and cyclical patterns both seem like they'd benefit from a slow-responding forecast. Maybe I should just roll a dice to decide?
MA
Marion
2 years ago
B) random component.
VI
Viola
2 years ago
A) seasonal component.
LE
Leonida
2 years ago
Definitely C. A trend component in the historical demand would call for a slow-responding forecasting method to capture the overall direction.
RO
Rosita
2 years ago
I think the answer is D. A forecasting method that responds slowly would be best for a cyclical demand pattern, as it can smooth out the ups and downs.
EM
Emily
2 years ago
I see your point, but I still think D is the best option. It would help in smoothing out the cyclical fluctuations in demand.
RO
Roselle
2 years ago
I think A could also be a good choice. Seasonal demand patterns would benefit from a forecasting method that responds slowly.
SA
Sanda
2 years ago
I agree, D is the correct answer. It makes sense to use a method that responds slowly for a cyclical demand pattern.
CH
Chauncey
2 years ago
I disagree, I think a forecasting method that responds slowly would be best for a trend component.
FE
Felix
2 years ago
I agree with Annice, because seasonal patterns are predictable and don't change quickly.
AN
Annice
2 years ago
I think a forecasting method that responds slowly would be best for a seasonal component.