Question: Q(a). The yearly sales data split up into four quarters is as given below. Obtain the seasonal indices and forecast the sales for years 2006
Q(a). The yearly sales data split up into four quarters is as given below. Obtain the seasonal indices and forecast the sales for years 2006 and 2007 on a quarterly basis.
| Year | Qtr 1 | Qtr 2 | Qtr 3 | Qtr 4 | Total |
| 2000 | 28 | 37 | 33 | 24 | 122 |
| 2001 | 27 | 40 | 30 | 23 | 120 |
| 2002 | 31 | 36 | 33 | 30 | 130 |
| 2003 | 31 | 39 | 36 | 26 | 132 |
| 2004 | 29 | 38 | 32 | 24 | 123 |
| 2005 | 32 | 40 | 36 | 26 | 134 |
(b).The demand for a new carburettor stocked by a retail shop for ten weeks are shown in following table.
| Week | Demand | Week | Demand |
| 1 | 650 | 6 | 950 |
| 2 | 725 | 7 | 950 |
| 3 | 827 | 8 | 1000 |
| 4 | 850 | 9 | 1110 |
| 5 | 845 | 10 | 1195 |
Find a best fit exponential smoothing model to these data. Possible values of smoothing constant can be considered as 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, and 0.9. Justify your selection of smoothing constant. Also, report MSE, MAD and MAPE for best fit model.
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