National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: |
Month | Sales (000)Units |
Feb. | 15 |
Mar. | 15 |
Apr. | 10 |
May. | 27 |
Jun. | 15 |
Jul. | 23 |
Aug. | 28 |
b. | Forecast September sales volume using each of the following: |
(1) |
A linear trend equation.(Round your intermediate calculations and final answer to 2 decimal places.) |
Yt | thousands |
(2) |
A five-month moving average. (Round your answer to 2 decimal places.) |
Moving average | thousands |
(3) |
Exponential smoothing with a smoothing constant equal to .50, assuming a March forecast of 19(000). (Round your intermediate forecast values and final answer to 2 decimal places) |
Forecast | thousands |
(4) | The naive approach. |
Naive approach | thousands |
(5) |
A weighted average using .60 for August, .20 for July, and .20 for June. (Round your answer to 2 decimal places.) |
Weighted average | thousands |
1)
from above forecast =10.429+2.143*8 =27.57 ( please try 27.55 or 27.56 id this comes out wrng due to rounding)
2)
five-month moving average =(28+23+15+27+10)/5=20.6
3)
exponential | |||
Month | Sales | forecast | |
(000)Units | |||
Feb. | 15 | ||
Mar. | 15 | 15.00 | |
Apr. | 10 | 15.00 | |
May. | 27 | 12.50 | |
Jun. | 15 | 19.75 | |
Jul. | 23 | 17.38 | |
Aug. | 28 | 20.19 | |
24.09 |
from above forecast value =24.09 ( please try 24.10 if this comes wrong due to rounding)
4)
from naive approach forecast =28
5)
Weighted average forecast=0.6*28+0.2*23+0.2*15=24.4
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