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 = -0.1 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gutiérrez
1
71 kgSánchez
2
73 kgBarredo
4
61 kgSevilla
5
62 kgTeruel
6
73 kgGarate
7
62 kgErviti
12
82 kgNozal
13
70 kgLlaneras
15
65 kgHerrero
16
61 kgAgirre
17
68 kgCamaño
18
68 kgDurán
21
70 kgCañada
22
65 kgIrizar
23
73 kgVicioso
25
60 kgTorrent
27
71 kgCésar Veloso
28
69 kgAramendia
29
72 kgCosme
31
61 kg
1
71 kgSánchez
2
73 kgBarredo
4
61 kgSevilla
5
62 kgTeruel
6
73 kgGarate
7
62 kgErviti
12
82 kgNozal
13
70 kgLlaneras
15
65 kgHerrero
16
61 kgAgirre
17
68 kgCamaño
18
68 kgDurán
21
70 kgCañada
22
65 kgIrizar
23
73 kgVicioso
25
60 kgTorrent
27
71 kgCésar Veloso
28
69 kgAramendia
29
72 kgCosme
31
61 kg
Weight (KG) →
Result →
82
60
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUTIÉRREZ José Iván | 71 |
| 2 | SÁNCHEZ Luis León | 73 |
| 4 | BARREDO Carlos | 61 |
| 5 | SEVILLA Óscar | 62 |
| 6 | TERUEL Eloy | 73 |
| 7 | GARATE Juan Manuel | 62 |
| 12 | ERVITI Imanol | 82 |
| 13 | NOZAL Isidro | 70 |
| 15 | LLANERAS Juan | 65 |
| 16 | HERRERO David | 61 |
| 17 | AGIRRE Josu | 68 |
| 18 | CAMAÑO Iker | 68 |
| 21 | DURÁN Arkaitz | 70 |
| 22 | CAÑADA David | 65 |
| 23 | IRIZAR Markel | 73 |
| 25 | VICIOSO Ángel | 60 |
| 27 | TORRENT Carlos | 71 |
| 28 | CÉSAR VELOSO Gustavo | 69 |
| 29 | ARAMENDIA Javier | 72 |
| 31 | COSME Antonio | 61 |