Question: b. Use a = 0.1 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Month Forecast Time-Series Value 105 1 2

 b. Use a = 0.1 to compute the exponential smoothing forecastsfor the time series (to 2 decimals). Month Forecast Time-Series Value 105

b. Use a = 0.1 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Month Forecast Time-Series Value 105 1 2 130 105.00 3 120 4 100 5 85 6 115 7 150 8 145 9 100 10 75 11 95 12 110 13 c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Month Time-Series Value 105 Forecast 1 2 130 3 120 4 100 5 85 6 115 7 150 8 145 9 100 13 D c. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Month Time-Series Value 105 Forecast 1 2 130 3 120 4 100 5 85 6 115 7 150 8 145 9 100 10 75 11 95 12 110 13 Compute MSE (to 2 decimals). MSE (a=0.1): MSE (a = 0.5): Does a smoothing constant of 0.1 or 0.5 appear to provide more accurate forecasts based on MSE? provides more accurate forecasts based on MSE. Check My Work Reset

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