20. When a time series data is very stable and its variation is due to randomness, then A moving average forecast with n
Posted: Sun May 08, 2022 4:28 pm
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 ยป - 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.