The following table displays the actual demand and forecasts using two alternative methods for a six-month period.
FORECAST |
|||
Month |
Actual |
Method 1 |
Method 2 |
1 |
161 |
152 |
154 |
2 |
163 |
164 |
155 |
3 |
151 |
163 |
151 |
4 |
162 |
161 |
152 |
5 |
156 |
163 |
152 |
6 |
164 |
163 |
154 |
Compute MSE for both methods. Using MSE as a criterion, which method has the better performance record and why?
Method 1:
Month | Actual | Forecast | Error (Actual - Forecast) | Error^2 |
1 | 161 | 152 | 9 | 81 |
2 | 163 | 164 | -1 | 1 |
3 | 151 | 163 | -12 | 144 |
4 | 162 | 161 | 1 | 1 |
5 | 156 | 163 | -7 | 49 |
6 | 164 | 163 | 1 | 1 |
MSE (Mean Squared Error) = Mean of (Error^2) = ( 81 + 1 + 144 + 1 + 49 + 1) / 6 = 277 / 6 = 46.167
Method 2:
Month | Actual | Forecast | Error (Actual - Forecast) | Error^2 |
1 | 161 | 154 | 7 | 49 |
2 | 163 | 155 | 8 | 64 |
3 | 151 | 151 | 0 | 0 |
4 | 162 | 152 | 10 | 100 |
5 | 156 | 152 | 4 | 16 |
6 | 164 | 154 | 10 | 100 |
MSE = Mean of (Error^2) = ( 49 + 64 + 0 + 100 + 16 + 100) / 6 = 329 / 6 = 54.833
MSE for Method 1 is lower.
Therefore, Method 1 has a better performance record using MSE as a criterion.
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