Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 15 MSE b. Develop the three-week moving
Posted: Wed May 11, 2022 1:47 pm
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 15
MSE b. Develop the three-week moving average forecasts for this time series. Compute MSE and a forecast for week 7 (to 2 decimals if necessary). 11.80 The forecast for week 7 14.33 C. Use a = 0.2 to compute the exponential smoothing forecasts for the time series. Compute MSE and a forecast for week 7 (to 2 decimals), MSE 12.46 The forecast for week 7 15.73 d. Compare the three-week moving average approach with the exponential smoothing approach using a = 0.2 Which appears to provide more accurate forecasts based on MSE? Explain. The three-week moving average provides a worse forecast than the exponential smoothing approach since it has a larger MSE e. Use a smoothing constant of a to compute the exponential smoothing forecasts. Compute MSE (to 2 decimals),
MSE b. Develop the three-week moving average forecasts for this time series. Compute MSE and a forecast for week 7 (to 2 decimals if necessary). 11.80 The forecast for week 7 14.33 C. Use a = 0.2 to compute the exponential smoothing forecasts for the time series. Compute MSE and a forecast for week 7 (to 2 decimals), MSE 12.46 The forecast for week 7 15.73 d. Compare the three-week moving average approach with the exponential smoothing approach using a = 0.2 Which appears to provide more accurate forecasts based on MSE? Explain. The three-week moving average provides a worse forecast than the exponential smoothing approach since it has a larger MSE e. Use a smoothing constant of a to compute the exponential smoothing forecasts. Compute MSE (to 2 decimals),