Demand Forecast | |||||
Point | Forecast | 95% LB | 80% LB | 80% UB | 95% UB |
51 | 233.906554717221 | 62.4929529129367 | 121.825224916933 | 345.987884517508 | 405.320156521505 |
52 | 233.906554717221 | 61.638016927081 | 121.266212322949 | 346.546897111492 | 406.17509250736 |
53 | 233.906554717221 | 60.787302924741 | 120.709960335602 | 347.10314909884 | 407.0258065097 |
54 | 233.906554717221 | 59.9407489678633 | 120.156428455775 | 347.656680978666 | 407.872360466578 |
55 | 233.906554717221 | 59.0982946181672 | 119.605577165002 | 348.207532269439 | 408.714814816274 |
56 | 233.906554717221 | 58.2598808867905 | 119.057367892538 | 348.755741541903 | 409.553228547651 |
57 | 233.906554717221 | 57.4254501860877 | 118.511762983846 | 349.301346450595 | 410.387659248354 |
58 | 233.906554717221 | 56.5949462834697 | 117.968725670413 | 349.844383764028 | 411.218163150972 |
59 | 233.906554717221 | 55.7683142571807 | 117.428220040832 | 350.384889393609 | 412.044795177261 |
60 | 233.906554717221 | 54.945500453914 | 116.890211013092 | 350.922898421350 | 412.867608980527 |
Actuals and Interpolation | ||
Time | Actual | Forecast |
1 | 387 | NA |
2 | 295.5 | 387 |
3 | 343.35 | 377.85 |
4 | 264.025 | 374.4 |
5 | 322.5 | 363.3625 |
6 | 392.5 | 359.27625 |
7 | 315.75 | 362.598625 |
8 | 274.4 | 357.9137625 |
9 | 361.875 | 349.56238625 |
10 | 411.276 | 350.793647625 |
11 | 518.775 | 356.8418828625 |
12 | 392.55 | 373.03519457625 |
13 | 467 | 374.986675118625 |
14 | 382.852 | 384.188007606763 |
15 | 449.25 | 384.054406846086 |
16 | 564.252 | 390.573966161478 |
17 | 417 | 407.94176954533 |
18 | 450.8 | 408.847592590797 |
19 | 538.675 | 413.042833331717 |
20 | 394 | 425.606049998546 |
21 | 532 | 422.445444998691 |
22 | 461.4 | 433.400900498822 |
23 | 523 | 436.20081044894 |
24 | 405.9 | 444.880729404046 |
25 | 386.25 | 440.982656463641 |
26 | 384.5 | 435.509390817277 |
27 | 382 | 430.408451735549 |
28 | 381.75 | 425.567606561994 |
29 | 151.5 | 421.185845905795 |
30 | 287.775 | 394.217261315216 |
31 | 247.6 | 383.573035183694 |
32 | 290.35 | 369.975731665325 |
33 | 266.55 | 362.013158498792 |
34 | 318.025 | 352.466842648913 |
35 | 213.3 | 349.022658384022 |
36 | 148.75 | 335.450392545619 |
37 | 273 | 316.780353291058 |
38 | 282.25 | 312.402317961952 |
39 | 191.25 | 309.387086165757 |
40 | 142.25 | 297.573377549181 |
41 | 259.25 | 282.041039794263 |
42 | 272.75 | 279.761935814837 |
43 | 173.75 | 279.060742233353 |
44 | 204.75 | 268.529668010018 |
45 | 185.525 | 262.151701209016 |
46 | 267.175 | 254.489031088114 |
47 | 190.25 | 255.757627979303 |
48 | 127.25 | 249.206865181373 |
49 | 183.5 | 237.011178663235 |
50 | 254.125 | 231.660060796912 |
What is next? |
Simulate Time Series |
Generate Forecasts |
Forecast Analysis |