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 - 4
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Benfatto
1
71 kgMolano
2
72 kgCima
3
70 kgMareczko
4
67 kgMosca
6
65 kgHiguita
7
57 kgPeñalver
12
67 kgLizde
13
70 kgMarque
15
68 kgVorganov
16
65 kgDavids
19
72 kgMazzucco
20
69 kgKasyanov
21
62 kgHennessy
22
80 kgShumov
24
65 kgJurado
26
68 kgBanusch
28
78 kgAular
29
65 kg
1
71 kgMolano
2
72 kgCima
3
70 kgMareczko
4
67 kgMosca
6
65 kgHiguita
7
57 kgPeñalver
12
67 kgLizde
13
70 kgMarque
15
68 kgVorganov
16
65 kgDavids
19
72 kgMazzucco
20
69 kgKasyanov
21
62 kgHennessy
22
80 kgShumov
24
65 kgJurado
26
68 kgBanusch
28
78 kgAular
29
65 kg
Weight (KG) →
Result →
80
57
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENFATTO Marco | 71 |
| 2 | MOLANO Juan Sebastián | 72 |
| 3 | CIMA Damiano | 70 |
| 4 | MARECZKO Jakub | 67 |
| 6 | MOSCA Jacopo | 65 |
| 7 | HIGUITA Sergio | 57 |
| 12 | PEÑALVER Manuel | 67 |
| 13 | LIZDE Seid | 70 |
| 15 | MARQUE Alejandro Manuel | 68 |
| 16 | VORGANOV Eduard | 65 |
| 19 | DAVIDS Brendon | 72 |
| 20 | MAZZUCCO Fabio | 69 |
| 21 | KASYANOV Oleksiy | 62 |
| 22 | HENNESSY Jacob | 80 |
| 24 | SHUMOV Nikolai | 65 |
| 26 | JURADO Christofer Robín | 68 |
| 28 | BANUSCH Richard | 78 |
| 29 | AULAR Orluis | 65 |