As, The Graph Must be in MS Excel sheet, then we can check Value for each day, I have considered approximate value, those are Not to the scale, However, from MS Excel Sheet, we can take such value and Put in the below Excel sheet with Formula, as written below, so, we will be able to perform Trend Forecasting and the Reasonable side of Trend Forecasting, it uses past data from company, and examine such data and prepare Intercept and Slope value, using such value like Intercept, slope, we can predict forecast for any period, here, I have prepared forecast for Next week that means from 22 days to 28 Days, Trend forecasting is useful method in Many businesses,
1 | B | C | D | E |
2 | Intercept | 34.714 | Slope | 2.857 |
3 | Day | Value | Trend forecasting | |
4 | 1.000 | 35.000 | 37.571 | |
5 | 2.000 | 37.000 | 40.429 | |
6 | 3.000 | 40.000 | 43.286 | |
7 | 4.000 | 41.000 | 46.143 | |
8 | 5.000 | 79.000 | 49.000 | |
9 | 6.000 | 50.000 | 51.857 | |
10 | 7.000 | 52.000 | 54.714 | |
11 | 8.000 | 54.000 | 57.571 | |
12 | 9.000 | 58.000 | 60.429 | |
13 | 10.000 | 59.000 | 63.286 | |
14 | 11.000 | 62.000 | 66.143 | |
15 | 12.000 | 97.000 | 69.000 | |
16 | 13.000 | 95.000 | 71.857 | |
17 | 14.000 | 59.000 | 74.714 | |
18 | 15.000 | 61.000 | 77.571 | |
19 | 16.000 | 62.000 | 80.429 | |
20 | 17.000 | 65.000 | 83.286 | |
21 | 18.000 | 70.000 | 86.143 | |
22 | 19.000 | 76.000 | 89.000 | |
23 | 20.000 | 117.000 | 91.857 | |
24 | 21.000 | 120.000 | 94.714 | |
25 | 22.000 | 97.571 | ||
26 | 23.000 | 100.429 | ||
27 | 24.000 | 103.286 | ||
28 | 25.000 | 106.143 | ||
29 | 26.000 | 109.000 | ||
30 | 27.000 | 111.857 | ||
31 | 28.000 | 114.714 |
1 | B | C | D | E |
2 | Intercept | =INTERCEPT(C4:C24,B4:B24) | Slope | =SLOPE(C4:C24,B4:B24) |
3 | Day | Value | Trend forecasting | |
4 | 1 | 35 | =$C$2+($E$2*B4) | |
5 | 2 | 37 | =$C$2+($E$2*B5) | |
6 | 3 | 40 | =$C$2+($E$2*B6) | |
7 | 4 | 41 | =$C$2+($E$2*B7) | |
8 | 5 | 79 | =$C$2+($E$2*B8) | |
9 | 6 | 50 | =$C$2+($E$2*B9) | |
10 | 7 | 52 | =$C$2+($E$2*B10) | |
11 | 8 | 54 | =$C$2+($E$2*B11) | |
12 | 9 | 58 | =$C$2+($E$2*B12) | |
13 | 10 | 59 | =$C$2+($E$2*B13) | |
14 | 11 | 62 | =$C$2+($E$2*B14) | |
15 | 12 | 97 | =$C$2+($E$2*B15) | |
16 | 13 | 95 | =$C$2+($E$2*B16) | |
17 | 14 | 59 | =$C$2+($E$2*B17) | |
18 | 15 | 61 | =$C$2+($E$2*B18) | |
19 | 16 | 62 | =$C$2+($E$2*B19) | |
20 | 17 | 65 | =$C$2+($E$2*B20) | |
21 | 18 | 70 | =$C$2+($E$2*B21) | |
22 | 19 | 76 | =$C$2+($E$2*B22) | |
23 | 20 | 117 | =$C$2+($E$2*B23) | |
24 | 21 | 120 | =$C$2+($E$2*B24) | |
25 | 22 | =$C$2+($E$2*B25) | ||
26 | 23 | =$C$2+($E$2*B26) | ||
27 | 24 | =$C$2+($E$2*B27) | ||
28 | 25 | =$C$2+($E$2*B28) | ||
29 | 26 | =$C$2+($E$2*B29) | ||
30 | 27 | =$C$2+($E$2*B30) | ||
31 | 28 | =$C$2+($E$2*B31) |
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