A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were Day: 1 2 3 4 5 6 7 8 9 Number sold: 34 37 40 39 45 43 47 49 48 Day: 10 11 12 13 14 15 Number sold: 52 53 47 53 47 49 a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial forecast of 42 for Day 8, an initial trend estimate of 2, and α = β = .3, develop demand forecasts for Days 9 through 16. Then compute the resultant MSE using the error values from Days 8 through 15. (Round your intermediate period-by-period forecast and error values to 3 decimal places. Round your final MSE answer to 3 decimal places.)
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A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last 15 days were
| Day: | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| Number sold: | 34 | 37 | 40 | 39 | 45 | 43 | 47 | 49 | 48 |
| Day: | 10 | 11 | 12 | 13 | 14 | 15 | |||
| Number sold: | 52 | 53 | 47 | 53 | 47 | 49 |
a. Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with an initial
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