(b)
Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.)
Week | Time Series Value |
Forecast |
---|---|---|
1 | 16 | |
2 | 11 | |
3 | 13 | |
4 | 10 | |
5 | 14 | |
6 | 12 |
Compute MSE. (Round your answer to two decimal places.)
MSE =
What is the forecast for week 7?
(c)
Use α = 0.2 to compute the exponential smoothing forecasts for the time series.
Week | Time Series Value |
Forecast |
---|---|---|
1 | 16 | |
2 | 11 | |
3 | 13 | |
4 | 10 | |
5 | 14 | |
6 | 12 |
Compute MSE. (Round your answer to two decimal places.)
MSE =
What is the forecast for week 7? (Round your answer to two decimal places.)
(d)
Compare the three-week moving average approach with the exponential smoothing approach using
α = 0.2.
Which appears to provide more accurate forecasts based on MSE? Explain.
The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach.The exponential smoothing using α = 0.2 provides a better forecast since it has a larger MSE than the three-week moving average approach. The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach.The exponential smoothing using α = 0.2 provides a better forecast since it has a smaller MSE than the three-week moving average approach.
(e)
Use a smoothing constant of α = 0.4 to compute the exponential smoothing forecasts.
Week | Time Series Value |
Forecast |
---|---|---|
1 | 16 | |
2 | 11 | |
3 | 13 | |
4 | 10 | |
5 | 14 | |
6 | 12 |
Does a smoothing constant of 0.2 or 0.4 appear to provide more accurate forecasts based on MSE? Explain.
The exponential smoothing using α = 0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using α = 0.4.The exponential smoothing using α = 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using α = 0.4. The exponential smoothing using α = 0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using α = 0.2.The exponential smoothing using α = 0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using α = 0.2.
b)
3 week | ||
Time period | Actual Value(A) | Moving avg. Forecast(F) |
1 | 16 | |
2 | 11 | |
3 | 13 | |
4 | 10 | 13.33 |
5 | 14 | 11.33 |
6 | 12 | 12.33 |
MSE = 6.11
forecast for week 7 =12
c)
Time period | Actual Value(A) | Forecast(F) |
1 | 16 | |
2 | 11 | 16.00 |
3 | 13 | 15.00 |
4 | 10 | 14.60 |
5 | 14 | 13.68 |
6 | 12 | 13.74 |
MSE = 10.66
forecast for week 7 =13.40
d)
The three-week moving average provides a better forecast since it has a smaller MSE than the smoothing approach
e)
Time period | Actual Value(A) | Forecast(F) |
1 | 16 | |
2 | 11 | 16.00 |
3 | 13 | 14.00 |
4 | 10 | 13.60 |
5 | 14 | 12.16 |
6 | 12 | 12.90 |
The exponential smoothing using α = 0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using α = 0.2.
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