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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Aberasturi
1
69 kgGroves
2
76 kgŤoupalík
3
65 kgGradek
4
83 kgvan der Poel
5
75 kgEinhorn
6
72 kgSevilla
7
64 kgNõmmela
8
69 kgStacchiotti
9
70 kgHoelgaard
10
74 kgStojnić
11
73 kgStüssi
12
68 kgVan den Bossche
13
63 kgBouwman
14
60 kgViel
15
72 kgMeiler
16
65 kgFoss
17
74 kgLozano
18
63 kgSweeck
19
71 kg
1
69 kgGroves
2
76 kgŤoupalík
3
65 kgGradek
4
83 kgvan der Poel
5
75 kgEinhorn
6
72 kgSevilla
7
64 kgNõmmela
8
69 kgStacchiotti
9
70 kgHoelgaard
10
74 kgStojnić
11
73 kgStüssi
12
68 kgVan den Bossche
13
63 kgBouwman
14
60 kgViel
15
72 kgMeiler
16
65 kgFoss
17
74 kgLozano
18
63 kgSweeck
19
71 kg
Weight (KG) →
Result →
83
60
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABERASTURI Jon | 69 |
| 2 | GROVES Kaden | 76 |
| 3 | ŤOUPALÍK Adam | 65 |
| 4 | GRADEK Kamil | 83 |
| 5 | VAN DER POEL David | 75 |
| 6 | EINHORN Itamar | 72 |
| 7 | SEVILLA Diego Pablo | 64 |
| 8 | NÕMMELA Aksel | 69 |
| 9 | STACCHIOTTI Riccardo | 70 |
| 10 | HOELGAARD Markus | 74 |
| 11 | STOJNIĆ Veljko | 73 |
| 12 | STÜSSI Colin | 68 |
| 13 | VAN DEN BOSSCHE Fabio | 63 |
| 14 | BOUWMAN Koen | 60 |
| 15 | VIEL Mattia | 72 |
| 16 | MEILER Lukas | 65 |
| 17 | FOSS Tobias | 74 |
| 18 | LOZANO David | 63 |
| 19 | SWEECK Diether | 71 |