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 = -0.7 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Gutiérrez
1
71 kgSánchez
2
73 kgGonzález de Galdeano
3
73 kgMartinez
4
67 kgPlaza
5
77 kgGonzález
6
69 kgNozal
7
70 kgTauler
8
74 kgCasero
9
74 kgPérez
10
70 kgHerrero
11
61 kgPlaza
12
68 kgCañada
13
65 kgHernández
14
64 kgIrizar
16
73 kgTorrent
17
71 kgArtetxe
26
61 kg
1
71 kgSánchez
2
73 kgGonzález de Galdeano
3
73 kgMartinez
4
67 kgPlaza
5
77 kgGonzález
6
69 kgNozal
7
70 kgTauler
8
74 kgCasero
9
74 kgPérez
10
70 kgHerrero
11
61 kgPlaza
12
68 kgCañada
13
65 kgHernández
14
64 kgIrizar
16
73 kgTorrent
17
71 kgArtetxe
26
61 kg
Weight (KG) →
Result →
77
61
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUTIÉRREZ José Iván | 71 |
| 2 | SÁNCHEZ Luis León | 73 |
| 3 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 4 | MARTINEZ José Alberto | 67 |
| 5 | PLAZA Rubén | 77 |
| 6 | GONZÁLEZ Aitor | 69 |
| 7 | NOZAL Isidro | 70 |
| 8 | TAULER Toni | 74 |
| 9 | CASERO Rafael | 74 |
| 10 | PÉREZ Aitor | 70 |
| 11 | HERRERO David | 61 |
| 12 | PLAZA David | 68 |
| 13 | CAÑADA David | 65 |
| 14 | HERNÁNDEZ Aitor | 64 |
| 16 | IRIZAR Markel | 73 |
| 17 | TORRENT Carlos | 71 |
| 26 | ARTETXE Mikel | 61 |