Demand Forecast | |||||
Point | Forecast | 95% LB | 80% LB | 80% UB | 95% UB |
18 | 73.1411724536216 | 47.498040693459 | 56.3740298367562 | 89.908315070487 | 98.7843042137841 |
19 | 73.1411724536216 | 47.3701439810567 | 56.2904026715123 | 89.9919422357308 | 98.9122009261864 |
20 | 73.1411724536216 | 47.2428788689384 | 56.2071884874962 | 90.0751564197469 | 99.0394660383047 |
21 | 73.1411724536216 | 47.1162360912953 | 56.1243812261212 | 90.1579636811219 | 99.1661088159478 |
22 | 73.1411724536216 | 46.9902066066816 | 56.0419749755036 | 90.2403699317395 | 99.2921383005615 |
23 | 73.1411724536216 | 46.8647815904815 | 55.9599639655373 | 90.3223809417058 | 99.4175633167616 |
24 | 73.1411724536216 | 46.7399524276985 | 55.8783425631789 | 90.4040023440643 | 99.5423924795446 |
25 | 73.1411724536216 | 46.6157107060498 | 55.7971052679323 | 90.4852396393109 | 99.6666342011933 |
26 | 73.1411724536216 | 46.4920482093507 | 55.716246707523 | 90.5660981997201 | 99.7902966978924 |
27 | 73.1411724536216 | 46.3689569111740 | 55.6357616337525 | 90.6465832734907 | 99.9133879960692 |
Actuals and Interpolation | ||
Time | Actual | Forecast |
1 | 66 | NA |
2 | 58.66666667 | 66 |
3 | 66 | 65.266666667 |
4 | 51.33333333 | 65.3400000003 |
5 | 73.16666667 | 63.93933333327 |
6 | 65.83333333 | 64.862066666943 |
7 | 65.16666667 | 64.9591933332487 |
8 | 80 | 64.9799406669238 |
9 | 88 | 66.4819466002315 |
10 | 86 | 68.6337519402083 |
11 | 94.67433333 | 70.3703767461875 |
12 | 66.16666667 | 72.8007724045687 |
13 | 94.83333333 | 72.1373618311119 |
14 | 72.33333333 | 74.4069589810007 |
15 | 86.33333333 | 74.1995964159006 |
16 | 64.33333333 | 75.4129701073106 |
17 | 62.66666667 | 74.3050064295795 |
What is next? |
Simulate Time Series |
Generate Forecasts |
Forecast Analysis |