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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Isidore
1
67 kgPajur
2
78 kgSavioz
4
53 kgRagilo
5
70 kgDecomble
8
62 kgDockx
9
56 kgHerzog
11
74 kgGolliker
13
67 kgMagnier
15
70 kgHannes
19
62 kgCler
20
60 kgChristen
22
60 kgKockelmann
23
70 kgKulset
24
58 kgPlace
28
58 kgGiuliano
29
63 kgBreant
30
62 kgBisiaux
31
58 kg
1
67 kgPajur
2
78 kgSavioz
4
53 kgRagilo
5
70 kgDecomble
8
62 kgDockx
9
56 kgHerzog
11
74 kgGolliker
13
67 kgMagnier
15
70 kgHannes
19
62 kgCler
20
60 kgChristen
22
60 kgKockelmann
23
70 kgKulset
24
58 kgPlace
28
58 kgGiuliano
29
63 kgBreant
30
62 kgBisiaux
31
58 kg
Weight (KG) →
Result →
78
53
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ISIDORE Noa | 67 |
| 2 | PAJUR Romet | 78 |
| 4 | SAVIOZ Colin | 53 |
| 5 | RAGILO Frank Aron | 70 |
| 8 | DECOMBLE Maxime | 62 |
| 9 | DOCKX Aaron | 56 |
| 11 | HERZOG Emil | 74 |
| 13 | GOLLIKER Joshua | 67 |
| 15 | MAGNIER Paul | 70 |
| 19 | HANNES Victor | 62 |
| 20 | CLER Gabin | 60 |
| 22 | CHRISTEN Jan | 60 |
| 23 | KOCKELMANN Mathieu | 70 |
| 24 | KULSET Johannes | 58 |
| 28 | PLACE Maxence | 58 |
| 29 | GIULIANO Dario | 63 |
| 30 | BREANT Romain | 62 |
| 31 | BISIAUX Léo | 58 |