| Demand Forecast | |||||
| Point | Forecast | 95% LB | 80% LB | 80% UB | 95% UB |
| 51 | 396.497040223239 | 120.267909359365 | 215.880519766770 | 577.113560679709 | 672.726171087114 |
| 52 | 396.497040223239 | 118.890199412013 | 214.979683652523 | 578.014396793955 | 674.103881034466 |
| 53 | 396.497040223239 | 117.519293095323 | 214.08329619325 | 578.910784253229 | 675.474787351156 |
| 54 | 396.497040223239 | 116.155090597526 | 213.191292125542 | 579.802788320937 | 676.838989848952 |
| 55 | 396.497040223239 | 114.797494523705 | 212.303607766285 | 580.690472680193 | 678.196585922773 |
| 56 | 396.497040223239 | 113.446409814646 | 211.420180959601 | 581.573899486878 | 679.547670631833 |
| 57 | 396.497040223239 | 112.101743669164 | 210.540951026057 | 582.453129420422 | 680.892336777314 |
| 58 | 396.497040223239 | 110.763405469719 | 209.665858714026 | 583.328221732453 | 682.23067497676 |
| 59 | 396.497040223239 | 109.431306711146 | 208.794846153094 | 584.199234293385 | 683.562773735333 |
| 60 | 396.497040223239 | 108.105360932358 | 207.927856809394 | 585.066223637085 | 684.88871951412 |
| Actuals and Interpolation | ||
| Time | Actual | Forecast |
| 1 | 797 | NA |
| 2 | 642.25 | 797 |
| 3 | 726.275 | 781.525 |
| 4 | 652.75 | 776 |
| 5 | 678.75 | 763.675 |
| 6 | 602.25 | 755.1825 |
| 7 | 689.775 | 739.88925 |
| 8 | 393 | 734.877825 |
| 9 | 580.525 | 700.6900425 |
| 10 | 462.25 | 688.67353825 |
| 11 | 725.65 | 666.031184425 |
| 12 | 501 | 671.9930659825 |
| 13 | 675 | 654.89375938425 |
| 14 | 691 | 656.904383445825 |
| 15 | 769.025 | 660.313945101243 |
| 16 | 688.25 | 671.185050591118 |
| 17 | 518.8 | 672.891545532007 |
| 18 | 386.275 | 657.482390978806 |
| 19 | 491.35 | 630.361651880925 |
| 20 | 269.5 | 616.460486692833 |
| 21 | 379 | 581.76443802355 |
| 22 | 375.25 | 561.487994221195 |
| 23 | 337.5 | 542.864194799075 |
| 24 | 296 | 522.327775319168 |
| 25 | 375 | 499.694997787251 |
| 26 | 399.525 | 487.225498008526 |
| 27 | 336 | 478.455448207673 |
| 28 | 483.5 | 464.209903386906 |
| 29 | 370.25 | 466.138913048215 |
| 30 | 625.5 | 456.550021743394 |
| 31 | 736.75 | 473.445019569055 |
| 32 | 496.05 | 499.775517612149 |
| 33 | 740.5 | 499.402965850934 |
| 34 | 690.525 | 523.512669265841 |
| 35 | 568.75 | 540.213902339257 |
| 36 | 341.1 | 543.067512105331 |
| 37 | 519.75 | 522.870760894798 |
| 38 | 408.75 | 522.558684805318 |
| 39 | 278.35 | 511.177816324786 |
| 40 | 217 | 487.895034692308 |
| 41 | 266 | 460.805531223077 |
| 42 | 319.025 | 441.324978100769 |
| 43 | 454.75 | 429.094980290692 |
| 44 | 378.3 | 431.660482261623 |
| 45 | 509.575 | 426.324434035461 |
| 46 | 453.75 | 434.649490631915 |
| 47 | 252 | 436.559541568723 |
| 48 | 187.525 | 418.103587411851 |
| 49 | 401.5 | 395.045728670666 |
| 50 | 403.75 | 395.691155803599 |
| What is next? |
| Simulate Time Series |
| Generate Forecasts |
| Forecast Analysis |
