Show the exponential smoothing forecasts using ? = 0.1. (Round your answers to three decimal places.) Week Time Series Value Forecast 1 17   2 21   3 20   4 23   5 18   6 17   7 20   8 17   9 23   10 21   11 15   12 23   (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of ? = 0.1 or ? = 0.2 for the gasoline sales time series? (Round your answers to two decimal places.) Using ? = 0.1 MSE is   , and using ? = 0.2 MSE is   , so we would prefer a smoothing constant of  --?-- 0.1 0.2  . (c) Are the results the same if you apply MAE as the measure of accuracy? (Round your answers to two decimal places.) Using ? = 0.1 MAE is   , and using ? = 0.2 MAE is   , so the results  ---Select--- are are not  the same as applying MSE as our measure of accuracy. (d) What are the results if MAPE is used? (Round your answers to two decimal places.) Using ? = 0.1 MAPE is   %, and using ? = 0.2 MAPE is   %, so we would prefer a smoothing constant of  --?-- 0.1 0.2

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Show the exponential smoothing forecasts using ? = 0.1. (Round your answers to three decimal places.)
Week Time Series
Value
Forecast
1 17  
2 21  
3 20  
4 23  
5 18  
6 17  
7 20  
8 17  
9 23  
10 21  
11 15  
12 23  
(b)
Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of ? = 0.1 or ? = 0.2 for the gasoline sales time series? (Round your answers to two decimal places.)
Using ? = 0.1 MSE is   , and using ? = 0.2 MSE is   , so we would prefer a smoothing constant of  --?-- 0.1 0.2  .
(c)
Are the results the same if you apply MAE as the measure of accuracy? (Round your answers to two decimal places.)
Using ? = 0.1 MAE is   , and using ? = 0.2 MAE is   , so the results  ---Select--- are are not  the same as applying MSE as our measure of accuracy.
(d)
What are the results if MAPE is used? (Round your answers to two decimal places.)
Using ? = 0.1 MAPE is   %, and using ? = 0.2 MAPE is   %, so we would prefer a smoothing constant of  --?-- 0.1 0.2 
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