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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Fouché
1
71 kgThalmann
2
61 kgStüssi
3
68 kgMaas
4
70 kgMárquez
5
66 kgChristensen
6
63 kgWolf
8
85 kgKuhn
9
69 kgŘepa
10
71 kgBax
11
78 kgRüegg
12
66 kgMoreno
13
59 kgBouts
14
72 kgCoqueret
15
69 kgOram
17
68 kgHuby
18
56 kgGarcía Pierna
19
58 kgGouault
23
61 kgKusztor
25
61 kg
1
71 kgThalmann
2
61 kgStüssi
3
68 kgMaas
4
70 kgMárquez
5
66 kgChristensen
6
63 kgWolf
8
85 kgKuhn
9
69 kgŘepa
10
71 kgBax
11
78 kgRüegg
12
66 kgMoreno
13
59 kgBouts
14
72 kgCoqueret
15
69 kgOram
17
68 kgHuby
18
56 kgGarcía Pierna
19
58 kgGouault
23
61 kgKusztor
25
61 kg
Weight (KG) →
Result →
85
56
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOUCHÉ James | 71 |
| 2 | THALMANN Roland | 61 |
| 3 | STÜSSI Colin | 68 |
| 4 | MAAS Jan | 70 |
| 5 | MÁRQUEZ Martí | 66 |
| 6 | CHRISTENSEN Ryan | 63 |
| 8 | WOLF Justin | 85 |
| 9 | KUHN Kevin | 69 |
| 10 | ŘEPA Vojtěch | 71 |
| 11 | BAX Sjoerd | 78 |
| 12 | RÜEGG Lukas | 66 |
| 13 | MORENO Adrià | 59 |
| 14 | BOUTS Jens | 72 |
| 15 | COQUERET Louis | 69 |
| 17 | ORAM James | 68 |
| 18 | HUBY Antoine | 56 |
| 19 | GARCÍA PIERNA Carlos | 58 |
| 23 | GOUAULT Pierre | 61 |
| 25 | KUSZTOR Péter | 61 |