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.
Visconti
1
63 kgColbrelli
2
74 kgBennati
3
71 kgAru
4
63 kgBennett
5
73 kgSabatini
6
74 kgCavendish
7
70 kgPérichon
8
69 kgBoem
9
75 kgPozzato
10
73 kgDeclercq
11
78 kgKolobnev
12
64 kgStüssi
13
68 kgLozano
14
63 kgPonzi
15
63 kgVan Hecke
16
69 kgGesbert
17
63 kgAndreetta
18
69 kgFrapporti
19
69 kgCarapaz
20
62 kg
1
63 kgColbrelli
2
74 kgBennati
3
71 kgAru
4
63 kgBennett
5
73 kgSabatini
6
74 kgCavendish
7
70 kgPérichon
8
69 kgBoem
9
75 kgPozzato
10
73 kgDeclercq
11
78 kgKolobnev
12
64 kgStüssi
13
68 kgLozano
14
63 kgPonzi
15
63 kgVan Hecke
16
69 kgGesbert
17
63 kgAndreetta
18
69 kgFrapporti
19
69 kgCarapaz
20
62 kg
Weight (KG) →
Result →
78
62
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VISCONTI Giovanni | 63 |
| 2 | COLBRELLI Sonny | 74 |
| 3 | BENNATI Daniele | 71 |
| 4 | ARU Fabio | 63 |
| 5 | BENNETT Sam | 73 |
| 6 | SABATINI Fabio | 74 |
| 7 | CAVENDISH Mark | 70 |
| 8 | PÉRICHON Pierre-Luc | 69 |
| 9 | BOEM Nicola | 75 |
| 10 | POZZATO Filippo | 73 |
| 11 | DECLERCQ Tim | 78 |
| 12 | KOLOBNEV Alexandr | 64 |
| 13 | STÜSSI Colin | 68 |
| 14 | LOZANO David | 63 |
| 15 | PONZI Simone | 63 |
| 16 | VAN HECKE Preben | 69 |
| 17 | GESBERT Élie | 63 |
| 18 | ANDREETTA Simone | 69 |
| 19 | FRAPPORTI Marco | 69 |
| 20 | CARAPAZ Richard | 62 |