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Time Series Analysis and Forecasting MCQs – Practice Test 5 PDF Download

MCQ 21: In the exponential smoothing, only one weight is selected which is of the:

  1. Frequently accessed data value
  2. Older data values
  3. Most recent data value
  4. Current pointing data value

MCQ 22: Smoothing methods generally provide a high level of accuracy for:

  1. Short-range forecast
  2. Long-range forecast
  3. Exponential range forecasts
  4. Moving-range forecasts

MCQ 23: Time series data can be classified into:

  1. Two components
  2. Three components
  3. Four components
  4. Five components

MCQ 24: In weighted moving averages, the weight decreases for:

  1. Older data values
  2. Most recent data value
  3. Current pointing data value
  4. Frequently accessed data value

MCQ 25: Forecasting method(s) appropriate for a time series with a horizontal pattern is named as:

  1. Moving averages
  2. Weighted moving average
  3. Exponential smoothing
  4. All of the Above

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