| Demand Forecast | |||||
| Point | Forecast | 95% LB | 80% LB | 80% UB | 95% UB |
| 26 | 37.7456845001459 | -1.11590916885560 | 12.3354542107590 | 63.1559147895327 | 76.6072781691473 |
| 27 | 37.7456845001459 | -1.30973378105451 | 12.2087191089082 | 63.2826498913835 | 76.8011027813462 |
| 28 | 37.7456845001459 | -1.50260121712422 | 12.0826098708879 | 63.4087591294038 | 76.9939702174159 |
| 29 | 37.7456845001459 | -1.69452551919115 | 11.9571173150450 | 63.5342516852467 | 77.1858945194829 |
| 30 | 37.7456845001459 | -1.8855203893646 | 11.8322324820519 | 63.6591365182398 | 77.3768893896563 |
| 31 | 37.7456845001459 | -2.07559920115266 | 11.7079466274416 | 63.7834223728501 | 77.5669682014444 |
| 32 | 37.7456845001459 | -2.26477501039025 | 11.5842512144627 | 63.907117785829 | 77.756144010682 |
| 33 | 37.7456845001459 | -2.45306056570408 | 11.461137907236 | 64.0302310930557 | 77.9444295659958 |
| 34 | 37.7456845001459 | -2.64046831853867 | 11.3385985641997 | 64.152770436092 | 78.1318373188304 |
| 35 | 37.7456845001459 | -2.82701043276543 | 11.2166252318257 | 64.274743768466 | 78.3183794330571 |
| Actuals and Interpolation | ||
| Time | Actual | Forecast |
| 1 | 22.325 | NA |
| 2 | 94.125 | 22.325 |
| 3 | 12.275 | 29.505 |
| 4 | 7.125 | 27.782 |
| 5 | 18.925 | 25.7163 |
| 6 | 38.025 | 25.03717 |
| 7 | 28.138 | 26.335953 |
| 8 | 2.386 | 26.5161577 |
| 9 | 13.225 | 24.10314193 |
| 10 | 26.25 | 23.015327737 |
| 11 | 31.975 | 23.3387949633 |
| 12 | 31.275 | 24.20241546697 |
| 13 | 34.4875 | 24.909673920273 |
| 14 | 52.1375 | 25.8674565282457 |
| 15 | 15.675 | 28.4944608754211 |
| 16 | 48.9 | 27.2125147878790 |
| 17 | 16.5 | 29.3812633090911 |
| 18 | 37 | 28.093136978182 |
| 19 | 54.125 | 28.9838232803638 |
| 20 | 34.4875 | 31.4979409523274 |
| 21 | 44.4875 | 31.7968968570947 |
| 22 | 40.2 | 33.0659571713852 |
| 23 | 52.13 | 33.7793614542467 |
| 24 | 49.575 | 35.614425308822 |
| 25 | 44.3625 | 37.0104827779398 |
| What is next? |
| Simulate Time Series |
| Generate Forecasts |
| Forecast Analysis |
