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In the following table, missing values are identified by a letter. As an example, you must find the forecast for period 18 using the simple
- In the following table, missing values are identified by a letter. As an example, you must find the forecast for period 18 using the simple moving average mentioned. Present your answers without detailing your calculations and keeping 2 decimal places.
Forecasting models | |||||||
Simple moving average of order4 | Weighted moving average of order 3 withw1 = 0,75 | Exponential smoothing simple a = 0,6 | Double exponential. smoothing a = 0,4 etd = 0,3 | ||||
Periode | Demande | Ft | Ft | Ft | St | Tt | Ft |
14 | 34 | ||||||
15 | 35 | 34,00 | 35,00 | 1,00 | |||
16 | 32 | 34,75 | E | 34,40 | 0,52 | J | |
17 | 36 | 32,75 | 33,04 | 35,35 | 0,65 | 34,92 | |
18 | 33 | 34,25 | C | 34,82 | 34,80 | H | 36,00 |
19 | 31 | 34,00 | 33,75 | F | 33,45 | -0,20 | 35,09 |
20 | 34 | 33,00 | D | 32,09 | G | -0,11 | 33,25 |
21 | 34 | A | 33,25 | 33,24 | 33,66 | -0,04 | 33,44 |
22 | 36 | 33,00 | 34,00 | 33,69 | 34,57 | 0,24 | K |
23 | 33 | B | 35,50 | 35,08 | 34,09 | 0,02 | 34,81 |
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