Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits.

WeekSales (1,000s of gallons)

1 17

2 21

3 16

4 24

5 17

6 18

7 22

8 20

9 21

10 19

11 16

12 25

(a) Show the exponential smoothing forecasts using = 0.1, and = 0.2.

Exponential

Smoothing

Week = 0.1 = 0.2

13 ________ ________

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?

An- Select your answer -

= 0.1

= 0.2

Item 3

smoothing constant provides the more accurate forecast, with an overall MSE of________.

Are the results the same if you apply MAE as the measure of accuracy?

a= 0.1

b=0.2

Select your answer -

= 0.1

= 0.2

Item 5

An a=0.1 or a=0.2 smoothing constant provides the more accurate forecast, with an overall MAE of___________.

- Select your answer -

= 0.1

= 0.2

Item 5

smoothing constant provides the more accurate forecast, with an overall MAE of_______.

What are the results if MAPE is used?

An a=0.1 or a=0.2 smoothing constant provides the more accurate forecast, with an overall MAPE of _________.