Consider the following time series data.
Week | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
Value | 19 | 12 | 16 | 11 | 18 | 13 |
(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 | 19 | |
2 | 12 | |
3 | 16 | |
4 | 11 | |
5 | 18 | |
6 | 13 |
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 | 19 | |
2 | 12 | |
3 | 16 | |
4 | 11 | |
5 | 18 | |
6 | 13 |
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 smaller 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 larger 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 | 19 | |
2 | 12 | |
3 | 16 | |
4 | 11 | |
5 | 18 | |
6 | 13 |
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 = 0.4 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. 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.
b)
3 week | ||
Time period | Actual Value(A) | Moving avg. Forecast(F) |
1 | 19 | |
2 | 12 | |
3 | 16 | |
4 | 11 | 15.67 |
5 | 18 | 13.00 |
6 | 13 | 15.00 |
MSE =16.93
forecast for week 7 =14
c)
Time period | Actual Value(A) | Forecast(F) |
1 | 19 | |
2 | 12 | 19.00 |
3 | 16 | 17.60 |
4 | 11 | 17.28 |
5 | 18 | 16.02 |
6 | 13 | 16.42 |
MSE =21.32
forecast for week 7 =15.74
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 | 19 | |
2 | 12 | 19.00 |
3 | 16 | 16.20 |
4 | 11 | 16.12 |
5 | 18 | 14.07 |
6 | 13 | 15.64 |
The exponential smoothing using α = 0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing
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