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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Vendrame
1
60 kgCort
2
68 kgMosca
3
65 kgSánchez
4
73 kgHerrada
5
70 kgSwift
6
69 kgHollmann
7
70 kgGallopin
8
69 kgHardy
9
62 kgLópez
10
70 kgFedorov
11
80 kgGarcía
12
55 kgAdrià
13
64 kgChampoussin
14
61 kgAgirre
15
55 kgCabot
16
76 kgBou
17
62 kgDíaz
18
64 kgRodríguez
19
63 kgCuadros
20
67 kgMurguialday
21
57 kg
1
60 kgCort
2
68 kgMosca
3
65 kgSánchez
4
73 kgHerrada
5
70 kgSwift
6
69 kgHollmann
7
70 kgGallopin
8
69 kgHardy
9
62 kgLópez
10
70 kgFedorov
11
80 kgGarcía
12
55 kgAdrià
13
64 kgChampoussin
14
61 kgAgirre
15
55 kgCabot
16
76 kgBou
17
62 kgDíaz
18
64 kgRodríguez
19
63 kgCuadros
20
67 kgMurguialday
21
57 kg
Weight (KG) →
Result →
80
55
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VENDRAME Andrea | 60 |
| 2 | CORT Magnus | 68 |
| 3 | MOSCA Jacopo | 65 |
| 4 | SÁNCHEZ Luis León | 73 |
| 5 | HERRADA Jesús | 70 |
| 6 | SWIFT Ben | 69 |
| 7 | HOLLMANN Juri | 70 |
| 8 | GALLOPIN Tony | 69 |
| 9 | HARDY Romain | 62 |
| 10 | LÓPEZ Diego | 70 |
| 11 | FEDOROV Yevgeniy | 80 |
| 12 | GARCÍA Jhojan | 55 |
| 13 | ADRIÀ Roger | 64 |
| 14 | CHAMPOUSSIN Clément | 61 |
| 15 | AGIRRE Jon | 55 |
| 16 | CABOT Jérémy | 76 |
| 17 | BOU Joan | 62 |
| 18 | DÍAZ José Manuel | 64 |
| 19 | RODRÍGUEZ Óscar | 63 |
| 20 | CUADROS Álvaro | 67 |
| 21 | MURGUIALDAY Jokin | 57 |