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 - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Molano
1
72 kgBenfatto
2
71 kgCima
3
70 kgMareczko
4
67 kgPeñalver
5
67 kgMosca
7
65 kgHiguita
9
57 kgMarque
12
68 kgVon Hoff
14
70 kgLizde
15
70 kgVorganov
17
65 kgDavids
23
72 kgMazzucco
25
69 kgKasyanov
26
62 kgHennessy
27
80 kgShumov
29
65 kgJurado
31
68 kgBanusch
32
78 kgAular
33
65 kg
1
72 kgBenfatto
2
71 kgCima
3
70 kgMareczko
4
67 kgPeñalver
5
67 kgMosca
7
65 kgHiguita
9
57 kgMarque
12
68 kgVon Hoff
14
70 kgLizde
15
70 kgVorganov
17
65 kgDavids
23
72 kgMazzucco
25
69 kgKasyanov
26
62 kgHennessy
27
80 kgShumov
29
65 kgJurado
31
68 kgBanusch
32
78 kgAular
33
65 kg
Weight (KG) →
Result →
80
57
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOLANO Juan Sebastián | 72 |
| 2 | BENFATTO Marco | 71 |
| 3 | CIMA Damiano | 70 |
| 4 | MARECZKO Jakub | 67 |
| 5 | PEÑALVER Manuel | 67 |
| 7 | MOSCA Jacopo | 65 |
| 9 | HIGUITA Sergio | 57 |
| 12 | MARQUE Alejandro Manuel | 68 |
| 14 | VON HOFF Steele | 70 |
| 15 | LIZDE Seid | 70 |
| 17 | VORGANOV Eduard | 65 |
| 23 | DAVIDS Brendon | 72 |
| 25 | MAZZUCCO Fabio | 69 |
| 26 | KASYANOV Oleksiy | 62 |
| 27 | HENNESSY Jacob | 80 |
| 29 | SHUMOV Nikolai | 65 |
| 31 | JURADO Christofer Robín | 68 |
| 32 | BANUSCH Richard | 78 |
| 33 | AULAR Orluis | 65 |