alm395
New Member
- Joined
- Apr 23, 2018
- Messages
- 39
- Office Version
- 365
- Platform
- Windows
Hi!
I am new to creating future estimates and am looking for the best way to show the prediction. I tried using Forecast.Linear, but think I did something wrong, as I got the same number for all future predictions. I was able to calculate the monthly averages for this year based on the historical values.
Total Orders = Total number of orders we received
Arrive < 1 HR = Of the total number of orders, these are the amount we were able to deliver on < 1 hour
I am looking for the estimated number of Total Orders and Arrive < 1 HR for May 2021 - Jan 2022. What is the best way to go about this?
Thank you!
I am new to creating future estimates and am looking for the best way to show the prediction. I tried using Forecast.Linear, but think I did something wrong, as I got the same number for all future predictions. I was able to calculate the monthly averages for this year based on the historical values.
Total Orders = Total number of orders we received
Arrive < 1 HR = Of the total number of orders, these are the amount we were able to deliver on < 1 hour
I am looking for the estimated number of Total Orders and Arrive < 1 HR for May 2021 - Jan 2022. What is the best way to go about this?
Thank you!
05.06.21 - WD DATA.xlsx | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | |||
2 | FY | MMYY | Total Orders | TO AVG | TO PREDICT | ARRIVE < 1HR | <60 AVG | <60 PREDICT | ||
3 | FY 18 | Feb-17 | 445 | 174 | ||||||
4 | Mar-17 | 217 | 190 | |||||||
5 | Apr-17 | 253 | 213 | |||||||
6 | May-17 | 396 | 244 | |||||||
7 | Jun-17 | 250 | 222 | |||||||
8 | Jul-17 | 237 | 207 | |||||||
9 | Aug-17 | 569 | 426 | |||||||
10 | Sep-17 | 188 | 167 | |||||||
11 | Oct-17 | 159 | 144 | |||||||
12 | Nov-17 | 118 | 111 | |||||||
13 | Dec-17 | 175 | 129 | |||||||
14 | Jan-18 | 148 | 135 | |||||||
15 | FY19 | Feb-18 | 142 | 133 | ||||||
16 | Mar-18 | 235 | 215 | |||||||
17 | Apr-18 | 225 | 216 | |||||||
18 | May-18 | 305 | 292 | |||||||
19 | Jun-18 | 241 | 236 | |||||||
20 | Jul-18 | 380 | 366 | |||||||
21 | Aug-18 | 274 | 273 | |||||||
22 | Sep-18 | 308 | 300 | |||||||
23 | Oct-18 | 221 | 214 | |||||||
24 | Nov-18 | 177 | 175 | |||||||
25 | Dec-18 | 242 | 240 | |||||||
26 | Jan-19 | 204 | 204 | |||||||
27 | FY 20 | Feb-19 | 128 | 128 | ||||||
28 | Mar-19 | 167 | 167 | |||||||
29 | Apr-19 | 385 | 360 | |||||||
30 | May-19 | 335 | 333 | |||||||
31 | Jun-19 | 1493 | 755 | |||||||
32 | Jul-19 | 317 | 311 | |||||||
33 | Aug-19 | 221 | 218 | |||||||
34 | Sep-19 | 301 | 297 | |||||||
35 | Oct-19 | 324 | 317 | |||||||
36 | Nov-19 | 230 | 227 | |||||||
37 | Dec-19 | 139 | 137 | |||||||
38 | Jan-20 | 159 | 159 | |||||||
39 | FY 21 | Feb-20 | 162 | 162 | ||||||
40 | Mar-20 | 213 | 213 | |||||||
41 | Apr-20 | 305 | 303 | |||||||
42 | May-20 | 628 | 582 | |||||||
43 | Jun-20 | 284 | 283 | |||||||
44 | Jul-20 | 249 | 248 | |||||||
45 | Aug-20 | 300 | 298 | |||||||
46 | Sep-20 | 263 | 260 | |||||||
47 | Oct-20 | 194 | 193 | |||||||
48 | Nov-20 | 141 | 140 | |||||||
49 | Dec-20 | 221 | 221 | |||||||
50 | Jan-21 | 151 | 151 | |||||||
51 | FY22 | Feb-21 | 162 | 219 | 155 | 149 | ||||
52 | Mar-21 | 282 | 208 | 278 | 196 | |||||
53 | Apr-21 | 319 | 292 | 294 | 273 | |||||
54 | May-21 | 416 | 363 | |||||||
55 | Jun-21 | 567 | 374 | |||||||
56 | Jul-21 | 296 | 283 | |||||||
57 | Aug-21 | 341 | 304 | |||||||
58 | Sep-21 | 265 | 256 | |||||||
59 | Oct-21 | 225 | 217 | |||||||
60 | Nov-21 | 167 | 163 | |||||||
61 | Dec-21 | 194 | 182 | |||||||
62 | Jan-22 | 166 | 162 | |||||||
DATA (2) |
Cell Formulas | ||
---|---|---|
Range | Formula | |
D51:D62,G51:G62 | D51 | =AVERAGE(C3,C15,C27,C39) |