- 20 When A Time Series Data Is Very Stable And Its Variation Is Due To Randomness Then A Moving Average Forecast With N 1 (33.69 KiB) Viewed 19 times
20. When a time series data is very stable and its variation is due to randomness, then A moving average forecast with n
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20. When a time series data is very stable and its variation is due to randomness, then A moving average forecast with n
20. When a time series data is very stable and its variation is due to randomness, then A moving average forecast with n = 20 should outperform a moving average forecast with 3. b. A moving average forecast with 3 should outperform a moving average forecast with - 20. A moving average forecast with » - 20 should perform about the same as a moving average forecast with n=3. d. An exponential smoothing forecast with a -0.70 should outperform an exponential smoothing forecast with a -0.10. None of the above.
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