Consider the following time series data.
Week 1 2 3 4 5 6
Value 18 14 16 10 18 14
Using the naive method
a. Mean absolute error
If required, round your answer to one decimal place.
b. Mean squared error
If required, round your answer to one decimal place.
C. Mean absolute percentage error
If required, round your answer to one decimal place.
D. What is the forecast for week 7?
If required, round your answer to one decimal place.
Time period | Actual Value(A) | Moving avg. Forecast(F) | Forecast error E=|A-F| | Squared Forecast Error | |A-F|A |
1 | 18 | ||||
2 | 14 | 18 | 4 | 16 | 0.2857 |
3 | 16 | 14 | 2 | 4 | 0.1250 |
4 | 10 | 16 | 6 | 36 | 0.6000 |
5 | 18 | 10 | 8 | 64 | 0.4444 |
6 | 14 | 18 | 4 | 16 | 0.2857 |
7 | 14 | ||||
Total | 24 | 136 | 1.74 | ||
Average | 4.80 | 27.20 | 34.82% | ||
MAD | MSE | MAPE |
a)
Mean absolute error =4.80
b)
Mean squared error =27.20
c)
Mean absolute percentage error =34.82%
d)
forecast for week 7 =14
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