Consider the following time series data.
Week | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
Value | 18 | 13 | 15 | 12 | 16 | 14 |
c)Use α = 0.2 to compute the exponential smoothing forecasts for the time series.
Week | Time Series Value |
Forecast |
---|---|---|
1 | 18 | |
2 | 13 | 18 |
3 | 15 | |
4 | 12 | |
5 | 16 | |
6 | 14 |
Compute MSE. (Round your answer to two decimal places.)
MSE =____
What is the forecast for week 7? (Round your answer to two decimal places.)
____
(e)Use a smoothing constant of α = 0.4 to compute the exponential smoothing forecasts.
Week | Time Series Value |
Forecast |
---|---|---|
1 | 18 | |
2 | 13 | 18 |
3 | 15 | |
4 | 12 | |
5 | 16 | |
6 | 14 |
c)
Time period | Actual Value(A) | Forecast(F) | Forecast error E=A-F | Squared Forecast Error |
1 | 18 | |||
2 | 13 | 18.00 | 5.00 | 25.00 |
3 | 15 | 17.00 | 2.00 | 4.00 |
4 | 12 | 16.60 | 4.60 | 21.16 |
5 | 16 | 15.68 | 0.32 | 0.10 |
6 | 14 | 15.74 | 1.74 | 3.04 |
Total | 13.66 | 53.30 | ||
Average | 2.73 | 10.66 | ||
MAD | MSE | |||
MSE = | 10.66 | |||
forecast for week 7 = | 15.39 |
e)
Time period | Actual Value(A) | Forecast(F) |
1 | 18 | |
2 | 13 | 18.00 |
3 | 15 | 16.00 |
4 | 12 | 15.60 |
5 | 16 | 14.16 |
6 | 14 | 14.90 |
MSE = | 8.63 |
Get Answers For Free
Most questions answered within 1 hours.