Two different forecasting techniques (F1 and F2) were used to
forecast demand for cases of bottled water. Actual demand and the
two sets of forecasts are as follows:
PREDICTED DEMAND | |||
Period | Demand | F1 | F2 |
1 | 68 | 67 | 64 |
2 | 75 | 70 | 60 |
3 | 70 | 75 | 70 |
4 | 74 | 71 | 72 |
5 | 69 | 71 | 73 |
6 | 72 | 65 | 76 |
7 | 80 | 71 | 75 |
8 | 78 | 77 | 85 |
a. Compute MAD for each set of forecasts. Given
your results, which forecast appears to be more accurate?
(Round your answers to 2 decimal place.)
MAD F1 | |
MAD F2 | |
(Click to
select) F2 F1 None appears
to be more accurate.
b. Compute the MSE for each set of forecasts.
Given your results, which forecast appears to be more accurate?
(Round your answers to 2 decimal
places.)
MSE F1 | |
MSE F2 | |
(Click to
select) F2 F1 None appears
to be more accurate.
d. Compute MAPE for each data set. Which forecast
appears to be more accurate? (Round your intermediate
calculations to 2 decimal places and and final answers to 2 decimal
places.)
MAPE F1 | |
MAPE F2 | |
(Click to select) F2 F1 None appears to be more accurate.
FORECAST ERROR |
F1 |
F2 |
BETTER? |
MAD |
4.13 |
5.13 |
F1 |
MSE |
45.13 |
15.13 |
F2 |
MAPE |
5.5 |
7 |
F1 |
EXPLANATION
FORECAST 1
PERIOD |
ACTUAL DEMAND |
FORECAST |
DEVIATIONS |
ABSOLUTE DEVIATION |
ABS DEV / DEMAND |
1 |
68 |
67 |
1 |
1 |
0.014706 |
2 |
75 |
70 |
5 |
5 |
0.066667 |
3 |
70 |
75 |
-5 |
5 |
0.071429 |
4 |
74 |
71 |
3 |
3 |
0.040541 |
5 |
69 |
71 |
-2 |
2 |
0.028986 |
6 |
72 |
65 |
7 |
7 |
0.097222 |
7 |
80 |
71 |
9 |
9 |
0.1125 |
8 |
78 |
77 |
1 |
1 |
0.012821 |
MAD = SIGMA(SUM OF ABSOLUTE DEVIATIONS) / N
MSE = SIGMA(SUM OF DEVIATIONS) ^ 2 / N
MAPE = (SIGMA(ABS DEV / DEMAND) / N) * 100
Where N represents the number of observations.
We know that N = 8
Sum of absolute deviations = 1 + 5 + 5 + 3 + 2 + 7 + 9 + 1 = 33
MAD = 33 / 8 = 4.13
Sum of deviations = 1 + 5 + -5 + 3 + -2 + 7 + 9 + 1 = 19
MSE = 19 ^2 / 8 = 45.13
Sum of abs dev / demand = 0.01 + 0.07 + 0.07 + 0.04 + 0.03 + 0.1 + 0.11 + 0.01 = 0.44
MAPE = (0.44 / 8) * 100 = 5.50
FORECAST 2
PERIOD |
ACTUAL DEMAND |
FORECAST |
DEVIATIONS |
ABSOLUTE DEVIATION |
ABS DEV / DEMAND |
1 |
68 |
64 |
4 |
4 |
0.058824 |
2 |
75 |
60 |
15 |
15 |
0.2 |
3 |
70 |
70 |
0 |
0 |
0 |
4 |
74 |
72 |
2 |
2 |
0.027027 |
5 |
69 |
73 |
-4 |
4 |
0.057971 |
6 |
72 |
76 |
-4 |
4 |
0.055556 |
7 |
80 |
75 |
5 |
5 |
0.0625 |
8 |
78 |
85 |
-7 |
7 |
0.089744 |
We know that N = 8
Sum of absolute deviations = 4 + 15 + 0 + 2 + 4 + 4 + 5 + 7 = 41
MAD = 41 / 8 = 5.13
Sum of deviations = 4 + 15 + 0 + 2 + -4 + -4 + 5 + -7 = 11
MSE = 11 ^2 / 8 = 15.13
Sum of abs dev/ demand = 0.06 + 0.2 + 0 + 0.03 + 0.06 + 0.06 + 0.06 + 0.09 = 0.56
MAPE = (0.56 / 8) * 100 = 7.00
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