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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Schmitz
1
77 kgAugé
2
65 kgPlaza
3
77 kgWegelius
5
62 kgLópez
6
68 kgPascual Llorente
8
68 kgGeorge
9
61 kgPérez Rodríguez
10
67 kgAlbizuri
11
69 kgEfimkin
13
67 kgBernabéu
14
66 kgAntón
15
64 kgPagliarini
16
68 kgBeuchat
17
62 kgCésar Veloso
19
69 kgSerrano
20
67 kgBessy
21
65 kgColli
23
73 kgSánchez
24
60 kgCárdenas
25
59 kgSchaffrath
27
74 kgTombak
28
71 kg
1
77 kgAugé
2
65 kgPlaza
3
77 kgWegelius
5
62 kgLópez
6
68 kgPascual Llorente
8
68 kgGeorge
9
61 kgPérez Rodríguez
10
67 kgAlbizuri
11
69 kgEfimkin
13
67 kgBernabéu
14
66 kgAntón
15
64 kgPagliarini
16
68 kgBeuchat
17
62 kgCésar Veloso
19
69 kgSerrano
20
67 kgBessy
21
65 kgColli
23
73 kgSánchez
24
60 kgCárdenas
25
59 kgSchaffrath
27
74 kgTombak
28
71 kg
Weight (KG) →
Result →
77
59
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMITZ Bram | 77 |
| 2 | AUGÉ Stéphane | 65 |
| 3 | PLAZA Rubén | 77 |
| 5 | WEGELIUS Charles | 62 |
| 6 | LÓPEZ David | 68 |
| 8 | PASCUAL LLORENTE Javier | 68 |
| 9 | GEORGE David | 61 |
| 10 | PÉREZ RODRÍGUEZ Luis | 67 |
| 11 | ALBIZURI Beñat | 69 |
| 13 | EFIMKIN Vladimir | 67 |
| 14 | BERNABÉU David | 66 |
| 15 | ANTÓN Igor | 64 |
| 16 | PAGLIARINI Luciano André | 68 |
| 17 | BEUCHAT Roger | 62 |
| 19 | CÉSAR VELOSO Gustavo | 69 |
| 20 | SERRANO Ricardo | 67 |
| 21 | BESSY Frédéric | 65 |
| 23 | COLLI Daniele | 73 |
| 24 | SÁNCHEZ Julián | 60 |
| 25 | CÁRDENAS Félix Rafael | 59 |
| 27 | SCHAFFRATH Jan | 74 |
| 28 | TOMBAK Janek | 71 |