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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Valverde
1
61 kgMartín Perdiguero
2
63 kgGutiérrez
3
71 kgGalparsoro
4
67 kgVentoso
5
75 kgEdo
6
64 kgPaulinho
8
64 kgNavas
9
78 kgGonzález de Galdeano
10
73 kgPérez
11
70 kgZaballa
12
66 kgArroyo
13
63 kgBénéteau
15
67 kgBeloki
18
66 kgVicioso
19
60 kgTorrent
23
71 kgBurgos
25
58 kg
1
61 kgMartín Perdiguero
2
63 kgGutiérrez
3
71 kgGalparsoro
4
67 kgVentoso
5
75 kgEdo
6
64 kgPaulinho
8
64 kgNavas
9
78 kgGonzález de Galdeano
10
73 kgPérez
11
70 kgZaballa
12
66 kgArroyo
13
63 kgBénéteau
15
67 kgBeloki
18
66 kgVicioso
19
60 kgTorrent
23
71 kgBurgos
25
58 kg
Weight (KG) →
Result →
78
58
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALVERDE Alejandro | 61 |
| 2 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 3 | GUTIÉRREZ José Iván | 71 |
| 4 | GALPARSORO Dionisio | 67 |
| 5 | VENTOSO Francisco José | 75 |
| 6 | EDO Ángel | 64 |
| 8 | PAULINHO Sérgio Miguel | 64 |
| 9 | NAVAS David | 78 |
| 10 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 11 | PÉREZ Aitor | 70 |
| 12 | ZABALLA Constantino | 66 |
| 13 | ARROYO David | 63 |
| 15 | BÉNÉTEAU Walter | 67 |
| 18 | BELOKI Gorka | 66 |
| 19 | VICIOSO Ángel | 60 |
| 23 | TORRENT Carlos | 71 |
| 25 | BURGOS Nacor | 58 |