store managers wishes to forecast the weekly number of television sets sold. Calculate the error for each of the following forecasts, the MAD and the MSE. Be sure to show the entire table in the work area of the template. Period Value Forecast Error 1 202 — — 2 191 202 3 173 192 4 169 181 5 171 174 6 175 172 7 182 174 8 196 179 9 204 189 10 219 198 11 227 211
Period t |
Actual At |
Forecast Ft |
Error At - Ft |
|Error| | Error2 |
1 | 202 | _ | |||
2 | 191 | 202 | -11 | 11 | 121 |
3 | 173 | 192 | -19 | 19 | 361 |
4 | 169 | 181 | -12 | 12 | 144 |
5 | 171 | 174 | - 3 | 3 | 9 |
6 | 175 | 172 | 3 | 3 | 9 |
7 | 182 | 174 | 8 | 8 | 64 |
8 | 196 | 179 | 17 | 17 | 289 |
9 | 204 | 189 | 15 | 15 | 225 |
10 | 219 | 198 | 21 | 21 | 441 |
11 | 227 | 211 | 16 | 16 | 256 |
Σ=125 | Σ=1919 |
MAD = Mean absolute deviation
=(sum of absolute errors)/(number of period)
= 125 / 10
= 12.5
MAD = 12.5
MSE = Mean squared error
= Σ (Error2 ) / (number of periods)
= 1919 / 10
= 191.9
MSE = 191.9
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