[See Steps] Tyler Jones has just been hired as the new production manager at the Sundance Chemical Company. As his first assignment, he has been asked to
Question: Tyler Jones has just been hired as the new production manager at the Sundance Chemical Company. As his first assignment, he has been asked to prepare a demand forecast for the next period (Period 51).
He has been provided the following data:
| Period | Actual | Period | Actual | Period | Actual | Period | Actual | Period | Actual |
| 1 | 398 | 11 | 424 | 21 | 456 | 31 | 474 | 41 | 477 |
| 2 | 400 | 12 | 429 | 22 | 457 | 32 | 476 | 42 | 472 |
| 3 | 403 | 13 | 434 | 23 | 458 | 33 | 478 | 43 | 466 |
| 4 | 408 | 14 | 436 | 24 | 457 | 34 | 484 | 44 | 460 |
| 5 | 410 | 15 | 437 | 25 | 462 | 35 | 489 | 45 | 451 |
| 6 | 412 | 16 | 442 | 26 | 463 | 36 | 488 | 46 | 443 |
| 7 | 414 | 17 | 445 | 27 | 467 | 37 | 486 | 47 | 439 |
| 8 | 415 | 18 | 447 | 28 | 468 | 38 | 485 | 48 | 432 |
| 9 | 413 | 19 | 448 | 29 | 470 | 39 | 483 | 49 | 426 |
| 10 | 418 | 20 | 454 | 30 | 473 | 40 | 482 | 50 | 419 |
Tyler has just completed the same MBA 626 class that you are now taking. He only has the forecasting models that we have studied in this course. Help Tyler develop a forecast for Period 51 using one of those models.
- Explain and justify why you selected the model that you used.
-
What is the forecast for Period 51?
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 376.2183 4.555405 82.58723 1.56E-52 367.054 385.3825 367.054 385.3825 t 6.053475 0.412064 14.69063 3.44E-19 5.22451 6.882439 5.22451 6.882439 t^2 -0.09554 0.007833 -12.1972 3.62E-16 -0.1113 -0.07978 -0.1113 -0.07978
This gives a reasonable R 2 = 0.8526. The forecast in this case for period 51 is 436.44.
To compute the MAD we have the following table:RESIDUAL OUTPUT Observation Predicted Actual Residuals Abs. Deviation 1 382.1762 15.8238 15.8238 2 387.9431 12.05695 12.05695 3 393.5188 9.481179 9.481179 4 398.9035 9.09649 9.09649 5 404.0971 5.902884 5.902884 6 409.0996 2.900359 2.900359 7 413.9111 0.088916 0.088916 8 418.5314 -3.53144 3.531445 9 422.9607 -9.96072 9.960724 10 427.1989 -9.19892 9.198921 11 431.246 -7.24604 7.246037 12 435.1021 -6.10207 6.102071 13 438.767 -4.76702 4.767023 14 442.2409 -6.24089 6.240893 15 445.5237 -8.52368 8.523681 16 448.6154 -6.61539 6.615388 17 451.516 -6.51601 6.516013 18 454.2256 -7.22556 7.225555 19 456.744 -8.74402 8.744017 20 459.0714 -5.0714 5.071396 21 461.2077 -5.20769 5.207693 22 463.1529 -6.15291 6.152909 23 464.907 -6.90704 6.907043 24 466.4701 -9.47009 9.470095 25 467.8421 -5.84206 5.842065 26 469.023 -6.02295 6.022953 27 470.0128 -3.01276 3.01276 28 470.8115 -2.81148 2.811484 29 471.4191 -1.41913 1.419127 30 471.8357 1.164312 1.164312 31 472.0612 1.938832 1.938832 32 472.0956 3.904435 3.904435 33 471.9389 6.061119 6.061119 34 471.5911 12.40889 12.40889 35 471.0523 17.94773 17.94773 36 470.3223 17.67766 17.67766 37 469.4013 16.59867 16.59867 38 468.2892 16.71077 16.71077 39 466.9861 16.01394 16.01394 40 465.4918 16.5082 16.5082 41 463.8065 13.19354 13.19354 42 461.93 10.06996 10.06996 43 459.8625 6.137463 6.137463 44 457.604 2.396047 2.396047 45 455.1543 -4.15429 4.154287 46 452.5135 -9.51354 9.513539 47 449.6817 -10.6817 10.68171 48 446.6588 -14.6588 14.6588 49 443.4448 -17.4448 17.4448 50 440.0397 -21.0397 21.03973 MAD 8.563286
The MAD is then 8.56. - How good or strong is the method that you used? Explain.
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