Statements are true abouttime-series forecasting

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Reference no: EM13338596

1. Which of the following statements are true abouttime-series forecasting?

A. Time series analysis tries to understand the system underlyingand surrounding the item being forecast.

B. Time series methods are useful for long-range forecasts when thedemand pattern is erratic

C. Under time-series methods, demand is divided into the time-basedcomponents such as daily, weekly, etc.

D. Time series analysis is based on the idea that the history ofoccurrences over time can be used to predict the future.

2. The previous forecast of 65 turned out to be four unitsless than the actual demand. The next forecast is 66. What would bethe value of alpha if the simple exponential smoothing forecastmethod is being used?

A. 0.4

B. 0.25

C. 0.02

D. 0.04

3. The ______ the percentage of contact time between theservice system and the customer, the ________ the degree ofinteraction between the two during the productionprocess.

A. lesser, greater

B. none of these answers

C. greater, greater

D. greater, lesser

4. Which of the following would not be classified as atime-series technique?

A. box Jenkins technique

B. simple moving average

C. regression model

D. exponential smoothing

E. trend projections.

Reference no: EM13338596

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