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1 Part a 2 3 NO Month 1 2 3 4. 5 6 7 8 9 10 11 12 4 5 6 7 8 9 10 11 12 13 14 NON Sales 105 140 125 110 90 120 145 135 95 75 95 115 b. Use a = 0.2 to compute the exponential smoothing forecasts for the time series (to 2 decimals). Month Time-Series Value 105 Forecast 1 140 w N 3 125 4 110 5 90 6 120 N 145 00 135 9 95 10 75 TIME 11 95 12 115 13 C. Use a smoothing constant of a = 0.5 to compute the exponential smoothing forecasts (to 2 decimals). Time-Series Month Value Forecast 105 2 140 3 125 4 110 5 90 NM N 000 6 120 7 145 8 135 9 95 10 75 11 95 12 115 13 Compute MSE (to 2 decimals). MSE (a = 0.2): MSE (a = 0.5): Does a smoothing constant of 0.2 or 0.5 appear to provide more accurate forecasts based on MSE? provides more accurate forecasts based on MSE Smoothing constant of 0.2 Smoothing constant of 0.5