In: Statistics and Probability
Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits.
Week | Sales (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 |
(b) | Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of α = 0.1 or α = 0.2 for the gasoline sales time series? |
An - Select your answer -α = 0.1α = 0.2Item 3 smoothing constant provides the more accurate forecast, with an overall MSE of . | |
(c) | Are the results the same if you apply MAE as the measure of accuracy? |
An - Select your answer -α = 0.1α = 0.2Item 5 smoothing constant provides the more accurate forecast, with an overall MAE of . | |
(d) | What are the results if MAPE is used? |
An - Select your answer -α = 0.1α = 0.2Item 7 smoothing constant provides the more accurate forecast, with an overall MAPE of . |
for alpha =0.1:
week | value | forecast | error | error^2 | |A-F|/A |
1 | 17 | ||||
2 | 21 | 17.000 | 4.000 | 16.000 | 0.1905 |
3 | 16 | 17.400 | 1.400 | 1.960 | 0.0875 |
4 | 24 | 17.260 | 6.740 | 45.428 | 0.2808 |
5 | 17 | 17.934 | 0.934 | 0.872 | 0.0549 |
6 | 18 | 17.841 | 0.159 | 0.025 | 0.0089 |
7 | 22 | 17.857 | 4.143 | 17.168 | 0.1883 |
8 | 20 | 18.271 | 1.729 | 2.990 | 0.0865 |
9 | 21 | 18.444 | 2.556 | 6.534 | 0.1217 |
10 | 19 | 18.699 | 0.301 | 0.090 | 0.0158 |
11 | 16 | 18.729 | 2.729 | 7.450 | 0.1706 |
12 | 25 | 18.457 | 6.543 | 42.817 | 0.2617 |
total | 31.236 | 141.335 | 1.467 | ||
average | 2.840 | 12.85 | 13.339% | ||
MAE | MSE | MAPE |
for alpha =0.2
week | value | forecast | error | error^2 | |A-F|/A |
1 | 17 | ||||
2 | 21 | 17.000 | 4.000 | 16.000 | 0.1905 |
3 | 16 | 17.800 | 1.800 | 3.240 | 0.1125 |
4 | 24 | 17.440 | 6.560 | 43.034 | 0.2733 |
5 | 17 | 18.752 | 1.752 | 3.070 | 0.1031 |
6 | 18 | 18.402 | 0.402 | 0.161 | 0.0223 |
7 | 22 | 18.321 | 3.679 | 13.533 | 0.1672 |
8 | 20 | 19.057 | 0.943 | 0.889 | 0.0471 |
9 | 21 | 19.246 | 1.754 | 3.078 | 0.0835 |
10 | 19 | 19.596 | 0.596 | 0.356 | 0.0314 |
11 | 16 | 19.477 | 3.477 | 12.091 | 0.2173 |
12 | 25 | 18.782 | 6.218 | 38.667 | 0.2487 |
total | 31.182 | 134.118 | 1.497 | ||
average | 2.835 | 12.19 | 13.609% | ||
MAE | MSE | MAPE |
b)
alpha =0.2 is better since for it MSE is smaller
with an overall MSE of 12.193~ 12.19
c)
alpha =0.2 is better since for it MAE is smaller
with an overall MAE of =2.835~ 2.83
D)
alpha =0.1 is better since for it MAE is smaller
with an overall MAPE of =13.339 %