(c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. Time Series Value Week 1 2 3 4 5 6 Week 1 2 3 17 4 11 5 15 9 10 6 16 13 Compute MSE. (Round your answer to two decimal places.) MSE = 14.79 ✓ What is the forecast for week 7? (Round your answer to two decimal places.) 14.45 (d) Compare the three-week moving average approach with the exponential smoothing approach using a = 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 larger MSE than the smoothing approach. O The exponential smoothing using a = 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 smaller MSE than the smoothing approach. O The exponential smoothing using a = 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 a = 0.4 to compute the exponential smoothing forecasts. Time Series Value 17 11 17 15 15.8 10 16 Forecast 15.64 13 14.51 14.81 x x [ | Forecast

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(c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series.
Time Series
Value
Week
1
2
3
4
5
6
Week
1
2
17
3
11
4
15
5
10
6
16
13
Compute MSE. (Round your answer to two decimal places.)
MSE = 14.79
What is the forecast for week 7? (Round your answer to two decimal places.)
14.45
(d) Compare the three-week moving average approach with the exponential smoothing approach using a = 0.2. Which appears to provide more accurate forecasts based on MSE? Explain.
O The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach.
O The exponential smoothing using a = 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 smaller MSE than the smoothing approach.
O The exponential smoothing using a = 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 a = 0.4 to compute the exponential smoothing forecasts.
Time Series
Value
17
11
17
15
15.8
10
16
Forecast
15.64
13
14.51
14.81
x
X
T
Forecast
Transcribed Image Text:(c) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. Time Series Value Week 1 2 3 4 5 6 Week 1 2 17 3 11 4 15 5 10 6 16 13 Compute MSE. (Round your answer to two decimal places.) MSE = 14.79 What is the forecast for week 7? (Round your answer to two decimal places.) 14.45 (d) Compare the three-week moving average approach with the exponential smoothing approach using a = 0.2. Which appears to provide more accurate forecasts based on MSE? Explain. O The three-week moving average provides a better forecast since it has a larger MSE than the smoothing approach. O The exponential smoothing using a = 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 smaller MSE than the smoothing approach. O The exponential smoothing using a = 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 a = 0.4 to compute the exponential smoothing forecasts. Time Series Value 17 11 17 15 15.8 10 16 Forecast 15.64 13 14.51 14.81 x X T Forecast
Consider the following time series data.
1 2 3 4
Week
Value 17
instruct
11 15 10
corion
5 6
16 13
Transcribed Image Text:Consider the following time series data. 1 2 3 4 Week Value 17 instruct 11 15 10 corion 5 6 16 13
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