(e) Use a smoothing constant of a 0.4 to compute the exponential smoothing forecasts. Time Series Value Week 1 2 3 4 5 6 19 11 16 10 18 14 Forecast Enter a number. 19 142 15.28 12 112 15.6448 x Does a smoothing constant of 0.2 or 0.4 O The exponential smoothing using a O The exponential smoothing using a O The exponential smoothing using a O The exponential smoothing using a x x x appear to provide more accurate forecasts based on MSE? Explain. 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using a 0. 0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using a -0.4 0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using a -0.2. 0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using a 0.2
(e) Use a smoothing constant of a 0.4 to compute the exponential smoothing forecasts. Time Series Value Week 1 2 3 4 5 6 19 11 16 10 18 14 Forecast Enter a number. 19 142 15.28 12 112 15.6448 x Does a smoothing constant of 0.2 or 0.4 O The exponential smoothing using a O The exponential smoothing using a O The exponential smoothing using a O The exponential smoothing using a x x x appear to provide more accurate forecasts based on MSE? Explain. 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using a 0. 0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using a -0.4 0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using a -0.2. 0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using a 0.2
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![(e) Use a smoothing constant of a = 0.4 to compute the exponential smoothing forecasts.
Time Series
Value
Week
1
2
F
4
S
6
19
11
16
10.
18
14
Forecast
Enter a number.
19
142
15.28
12 112
15.6448
x
x
x
X
appear to provide more accurate forecasts based on MSE? Explain.
Does a smoothing constant of 0.2 or 0.4
O The exponential smoothing using a 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using a 0.4.
O The exponential smoothing using a 0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using a -0.4.
O The exponential smoothing using a 0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using a 0.2.
O The exponential smoothing using a -0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using a 0.2.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6e51def1-33ae-480b-b8fb-4f065dbbde16%2F3d088afe-ae4a-4488-898a-dbcaf3cc709e%2Fsuifyi4_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(e) Use a smoothing constant of a = 0.4 to compute the exponential smoothing forecasts.
Time Series
Value
Week
1
2
F
4
S
6
19
11
16
10.
18
14
Forecast
Enter a number.
19
142
15.28
12 112
15.6448
x
x
x
X
appear to provide more accurate forecasts based on MSE? Explain.
Does a smoothing constant of 0.2 or 0.4
O The exponential smoothing using a 0.2 provides a better forecast since it has a smaller MSE than the exponential smoothing using a 0.4.
O The exponential smoothing using a 0.2 provides a better forecast since it has a larger MSE than the exponential smoothing using a -0.4.
O The exponential smoothing using a 0.4 provides a better forecast since it has a larger MSE than the exponential smoothing using a 0.2.
O The exponential smoothing using a -0.4 provides a better forecast since it has a smaller MSE than the exponential smoothing using a 0.2.
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