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 + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Leipheimer
1
62 kgContador
2
61 kgPardilla
4
65 kgLandaluze
5
65 kgMoreno
6
63 kgPujol
7
58 kgSalgueiro
8
73 kgAntón
9
64 kgRosendo
11
66 kgAstarloza
12
72 kgPérez
13
65 kgHerrero
16
61 kgMartínez
17
70 kgNavarro
24
60 kgNieve
26
62 kgVelasco
27
65 kgPaulinho
28
64 kgTxurruka
29
58 kgMartínez
32
74 kgGarcia
33
55 kgMínguez
35
59 kg
1
62 kgContador
2
61 kgPardilla
4
65 kgLandaluze
5
65 kgMoreno
6
63 kgPujol
7
58 kgSalgueiro
8
73 kgAntón
9
64 kgRosendo
11
66 kgAstarloza
12
72 kgPérez
13
65 kgHerrero
16
61 kgMartínez
17
70 kgNavarro
24
60 kgNieve
26
62 kgVelasco
27
65 kgPaulinho
28
64 kgTxurruka
29
58 kgMartínez
32
74 kgGarcia
33
55 kgMínguez
35
59 kg
Weight (KG) →
Result →
74
55
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEIPHEIMER Levi | 62 |
| 2 | CONTADOR Alberto | 61 |
| 4 | PARDILLA Sergio | 65 |
| 5 | LANDALUZE Iñigo | 65 |
| 6 | MORENO Javier | 63 |
| 7 | PUJOL Óscar | 58 |
| 8 | SALGUEIRO Enrique | 73 |
| 9 | ANTÓN Igor | 64 |
| 11 | ROSENDO Jesús | 66 |
| 12 | ASTARLOZA Mikel | 72 |
| 13 | PÉREZ Rubén | 65 |
| 16 | HERRERO David | 61 |
| 17 | MARTÍNEZ Egoi | 70 |
| 24 | NAVARRO Daniel | 60 |
| 26 | NIEVE Mikel | 62 |
| 27 | VELASCO Iván | 65 |
| 28 | PAULINHO Sérgio Miguel | 64 |
| 29 | TXURRUKA Amets | 58 |
| 32 | MARTÍNEZ Serafín | 74 |
| 33 | GARCIA Marcos | 55 |
| 35 | MÍNGUEZ Miguel | 59 |