The following time series shows the sales of a particular product over the past 12 months. If required, round your answer to two decimal places.
Click on the datafile logo to reference the data.
Month | Sales | Month | Sales |
1 | 105 | 7 | 145 |
2 | 135 | 8 | 140 |
3 | 120 | 9 | 100 |
4 | 105 | 10 | 80 |
5 | 90 | 11 | 100 |
6 | 120 | 12 | 110 |
(a) | Choose the correct time series plot. | |||||||||||||||||||||||||||||||||||||||
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- Select your answer -Plot (i)Plot (ii)Plot (iii)Plot (iv)Item 1 | ||||||||||||||||||||||||||||||||||||||||
What type of pattern "significantly" exists in the data? (Use 1% level of significance when needed) | ||||||||||||||||||||||||||||||||||||||||
- Select your answer -Only randomnessRandomness & Linear trendRandomness & SeasonalityRandomness, Linear trend & SeasonalityItem 2 | ||||||||||||||||||||||||||||||||||||||||
(b) | Use α = 0.3 to compute the exponential smoothing values for the time series. | |||||||||||||||||||||||||||||||||||||||
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(c) | Use trial and error to find a value of the exponential smoothing coefficient α that results in the smallest MSE. Enter the best value of alpha to two decimal places. | |||||||||||||||||||||||||||||||||||||||
α = |
a)
b)
α= | 0.3 | |
period | demand | forecast |
t | Dt | Ft |
1 | 105 | |
2 | 135 | 105 |
3 | 120 | 114 |
4 | 105 | 115.8 |
5 | 90 | 112.56 |
6 | 120 | 105.792 |
7 | 145 | 110.0544 |
8 | 140 | 120.53808 |
9 | 100 | 126.376656 |
10 | 80 | 118.463659 |
11 | 100 | 106.924561 |
12 | 110 | 104.847193 |
d)
Exponential Smoothing | ||
alpha | 0.033 | |
data | forecast | |
105 | 105 | |
135 | 105 | |
120 | 105.9769 | |
105 | 106.4336 | |
90 | 106.3869 | |
120 | 105.8533 | |
145 | 106.314 | |
140 | 107.5737 | |
100 | 108.6297 | |
80 | 108.3487 | |
100 | 107.4255 | |
110 | 107.1837 | |
> | 107.2754 | |
MAE | MSE | MAPE |
17.6657 | 459.6929 | 0.153785 |
α=0.033
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