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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kabas
1
60 kgStüssi
3
68 kgHuppertz
4
66 kgvan Schip
5
84 kgLauryssen
6
67 kgHopkins
7
67 kgRonhaar
9
60 kgMeiler
10
65 kgKerckhaert
11
59 kgNieuwenhuis
12
71 kgCentrone
13
64 kgRöber
14
68 kgWenzel
15
68 kgGodfroid
16
66 kgŘeha
17
72 kgKukrle
18
73 kgvan der Haar
21
58 kg
1
60 kgStüssi
3
68 kgHuppertz
4
66 kgvan Schip
5
84 kgLauryssen
6
67 kgHopkins
7
67 kgRonhaar
9
60 kgMeiler
10
65 kgKerckhaert
11
59 kgNieuwenhuis
12
71 kgCentrone
13
64 kgRöber
14
68 kgWenzel
15
68 kgGodfroid
16
66 kgŘeha
17
72 kgKukrle
18
73 kgvan der Haar
21
58 kg
Weight (KG) →
Result →
84
58
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KABAS Maximilian | 60 |
| 3 | STÜSSI Colin | 68 |
| 4 | HUPPERTZ Joshua | 66 |
| 5 | VAN SCHIP Jan-Willem | 84 |
| 6 | LAURYSSEN Yorben | 67 |
| 7 | HOPKINS Kaden | 67 |
| 9 | RONHAAR Pim | 60 |
| 10 | MEILER Lukas | 65 |
| 11 | KERCKHAERT Jochem | 59 |
| 12 | NIEUWENHUIS Joris | 71 |
| 13 | CENTRONE Ivan | 64 |
| 14 | RÖBER Dominik | 68 |
| 15 | WENZEL Mats | 68 |
| 16 | GODFROID Olivier | 66 |
| 17 | ŘEHA Filip | 72 |
| 18 | KUKRLE Michael | 73 |
| 21 | VAN DER HAAR Lars | 58 |