Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Petilli
2
65 kgPadun
3
67 kgParedes
4
66 kgMaison
5
61 kgMoscon
6
71 kgChaves
7
60 kgBrożyna
8
71 kgMamykin
9
62 kgArslanov
10
63 kgBouwman
11
60 kgCarboni
13
61 kgMühlberger
15
64 kgPavlič
16
65 kgGregaard
19
66 kgReyes
20
55 kgKorošec
21
75 kgVermeulen
22
66 kgBrkic
23
58 kgSchachmann
24
71 kgBarta
26
61 kgGrošelj
29
62 kg
2
65 kgPadun
3
67 kgParedes
4
66 kgMaison
5
61 kgMoscon
6
71 kgChaves
7
60 kgBrożyna
8
71 kgMamykin
9
62 kgArslanov
10
63 kgBouwman
11
60 kgCarboni
13
61 kgMühlberger
15
64 kgPavlič
16
65 kgGregaard
19
66 kgReyes
20
55 kgKorošec
21
75 kgVermeulen
22
66 kgBrkic
23
58 kgSchachmann
24
71 kgBarta
26
61 kgGrošelj
29
62 kg
Weight (KG) →
Result →
75
55
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PETILLI Simone | 65 |
| 3 | PADUN Mark | 67 |
| 4 | PAREDES Wilmar | 66 |
| 5 | MAISON Jérémy | 61 |
| 6 | MOSCON Gianni | 71 |
| 7 | CHAVES German Enrique | 60 |
| 8 | BROŻYNA Piotr | 71 |
| 9 | MAMYKIN Matvey | 62 |
| 10 | ARSLANOV Ildar | 63 |
| 11 | BOUWMAN Koen | 60 |
| 13 | CARBONI Giovanni | 61 |
| 15 | MÜHLBERGER Gregor | 64 |
| 16 | PAVLIČ Marko | 65 |
| 19 | GREGAARD Jonas | 66 |
| 20 | REYES Aldemar | 55 |
| 21 | KOROŠEC Rok | 75 |
| 22 | VERMEULEN Alexey | 66 |
| 23 | BRKIC Benjamin | 58 |
| 24 | SCHACHMANN Maximilian | 71 |
| 26 | BARTA Will | 61 |
| 29 | GROŠELJ Žiga | 62 |