Demand Forecast | |||||
Point | Forecast | 95% LB | 80% LB | 80% UB | 95% UB |
18 | -0.354618308979576 | -13.4745685128728 | -8.9332926398818 | 8.22405602192264 | 12.7653318949137 |
19 | -1.20778653470233 | -14.3277372953810 | -9.78646122966695 | 7.37088816026229 | 11.9121642259763 |
20 | -1.98551809456441 | -15.1054697751202 | -10.5641933910043 | 6.59315720187552 | 11.1344335859913 |
21 | -2.69448305712276 | -15.8144360675430 | -11.2731592231143 | 5.88419310886881 | 10.4254699532975 |
22 | -3.34076172713647 | -16.4607165068049 | -11.9194390499773 | 5.23791559570433 | 9.77919305253198 |
23 | -3.92989679215786 | -17.0498537961597 | -12.5085755694121 | 4.64878198509637 | 9.19006021184397 |
24 | -4.46694085835052 | -17.5869005468635 | -13.0456213909122 | 4.11173967421119 | 8.65301883016244 |
25 | -4.95649978321656 | -18.0764626133988 | -13.5351823700054 | 3.62218280357225 | 8.16346304696565 |
26 | -5.40277217686778 | -18.5227385967577 | -13.9814571108403 | 3.17591275710473 | 7.71719424302212 |
27 | -5.80958541061629 | -18.9295558546482 | -14.3882729758339 | 2.76910215460128 | 7.31038503341566 |
28 | -6.18042844170519 | -19.3004033275157 | -14.7591189112457 | 2.3982620278353 | 6.93954644410536 |
29 | -6.51848173569468 | -19.6384614619544 | -15.0971753702347 | 2.06021189884537 | 6.601497990565 |
30 | -6.82664454312722 | -19.9466294881816 | -15.4053415900537 | 1.75205250379925 | 6.29334040192713 |
31 | -7.1075597644049 | -20.2275502855488 | -15.6862604573403 | 1.47114092853055 | 6.01243075673899 |
32 | -7.36363661612802 | -20.4836330493705 | -15.9423411747769 | 1.21506794252091 | 5.75635981711445 |
33 | -7.59707129328852 | -20.7170739534929 | -16.1757799235290 | 0.981637336951906 | 5.5229313669158 |
34 | -7.80986580452356 | -20.9298749858293 | -16.3885786986830 | 0.768847089635902 | 5.31014337678219 |
35 | -8.00384514196633 | -21.1238611184188 | -16.5825624792334 | 0.57487219530076 | 5.11617083448614 |
36 | -8.18067293294808 | -21.3006959592754 | -16.7593948798806 | 0.398049013984403 | 4.93935009337925 |
37 | -8.3418657077853 | -21.4618960202758 | -16.9205924188838 | 0.236861003313207 | 4.7781646047052 |
38 | -8.48880590601696 | -21.6088437234593 | -17.0675375243397 | 0.0899257123058117 | 4.63123191142541 |
39 | -8.62275373263736 | -21.7427992572944 | -17.2014903904369 | -0.0440170748378126 | 4.49729179201965 |
40 | -8.74485796600747 | -21.8649113846005 | -17.3235997853744 | -0.166116146640571 | 4.3751954525856 |
41 | -8.85616581013664 | -21.9762272948239 | -17.4349129036391 | -0.277418716634203 | 4.26389567455067 |
Actuals and Interpolation | ||
Time | Actual | Forecast |
1 | 41 | 33.3763873532711 |
2 | 31.66666667 | 29.6246335440404 |
3 | 23.83333333 | 26.2043027371594 |
4 | 12.33333333 | 23.0857558185012 |
5 | 30.83333333 | 20.2411085776598 |
6 | 20.83333333 | 17.6509908453781 |
7 | 25.50166667 | 15.2895321468614 |
8 | 5.166666667 | 13.1385354672161 |
9 | 11.66666667 | 11.1752719285065 |
10 | 0.833333333 | 9.3864204889596 |
11 | 2.341666667 | 7.75405731874686 |
12 | 0 | 6.2657718954017 |
13 | 0.666666667 | 4.90837511570664 |
14 | 8.666666667 | 3.6707589378187 |
15 | 2.333333333 | 2.54391483550720 |
16 | 11.66666667 | 1.51620952168044 |
17 | 0.275 | 0.581334283101121 |
What is next? |
Simulate Time Series |
Generate Forecasts |
Forecast Analysis |