Statistics

Changes in Time Series – 5 Easy MCQs

Here are the 5 MCQs of Changes in Time Series. You can practice these MCQs frequently to prepare for your exams. Stay Connected for more.

CHANGES IN TIME SERIES QUIZ

Changes in Time Series Quiz

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Changes in Time Series

Exponential smoothing is a forecasting method which

It a time series changes at exact constant percentage then

The seasonal variation in the time series is computed by

The seasonal variation in the time series is computed by

Decomposing a time series means that past data is distributed into components of:

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List of MCQs included in Quiz

  • Exponential smoothing is a forecasting method which
    • uses the actual data, not the forecast data
    • requires to fit a mathematical model to the data
    • gives equal weight to all the periods
    • all of above
  • It a time series changes at exact constant percentage then
    • A good fitted trend line cannot be obtained
    • A linear line fitted to the data gives a perfect fit
    • A linear line fitted to the logarithms data gives a perfect fit
    • A nonlinear is required to be fitted
  • The seasonal variation in the time series is computed by
    • Trend
    • Cyclical
    • Seasonal
    • Irregular
  • The seasonal variation in the time series is computed by
    • Ratio to moving average method
    • Ratio to trend method
    • Link relative method
    • All of above
  • Decomposing a time series means that past data is distributed into components of
    • Trend, cycles, seasonal and random
    • Long term, medium term and short term variations
    • Constants and variations
    • All of above

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