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1. Time-series data may exhibit which of the following behaviors?
A) Trend
B) Seasonality
C) Cycles
D) Irregularities
E) All of the above
2. Gradual, long-term movement in time-series data is called:
A) Seasonal variation
B) Trend
C) Cycles
D) Irregular variation
E) Random variation
3. In order to increase the responsiveness of a forecast made using the moving-average method, the number of values in the average should be:
A) Decreased
B) Increased
C) Multiplied by a larger alpha
D) Multiplied by a smaller alpha
E) None of the above
4. PERT/CPM can answer which of the following questions?
A) When do activities need to start and finish to meet a deadline?
B) How much delay can be tolerated for certain activities?
C) Given uncertainties, what is the probabilitiy that a project will finish on time?
D) Only the first two of the above
E) All of the above
5. The earliest start time for an activity is:
A) Based on the length of the critical path
B) Based on the maximum of the earliest finish times of its immediate predecessor
C) Based on the maximum of the earliest finish times of its immediate successors
D) The same as the latest start time of its immediate predecessor
E) None of the above
6. In project network analysis, slack refers to the difference between:
A) Observed and predicted times
B) Optimistic and pessimistic times
C) Latest finish and latest start times
D) Earliest finish and earliest start times
E) Latest start and earliest start times
Explain your answers

Sagot :

The correct answer is E) All of the above. Time-series data may exhibit .

The trend is a time series component that depicts low frequency variations after high and medium frequency oscillations have been removed. 1. What does a time series' trend-cycle look like? Trend-cycle data offer a smoothed form of a seasonally adjusted time series. They offer details on longer-term developments, such as underlying series direction changes. Three parts may be separated out of a time series observation: the trend (long-term direction), the seasonal (systematic, calendar-related motions), and the irregular (unsystematic, short term fluctuations). To examine how a certain asset, security, or economic indicator evolves over time, time series analysis can be helpful.

To learn more about Time-series click the link below:

brainly.com/question/15552217

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