The manager of the BP Service Station wants to forecast the demand for unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The owner has accumulated the following data on demand for unleaded gasoline from sales during the past 10 months.
Month |
Gasoline Demanded (gal) |
Oct. |
800 |
Nov. |
725 |
Dec. |
630 |
Jan. |
500 |
Feb. |
645 |
Mar. |
690 |
Apr. |
730 |
May |
810 |
June |
1,200 |
July |
980 |
a. Compute an exponentially smoothing forecast using an alpha value of .30.
b. Compute an adjusted exponentially smoothed forecast (alpha = .30 and beta= .20).
c. Compare the two forecasts using MAPD and indicate which seems to be more accurate.
Please show all work to help me understand and the computed values of formulas in problems.