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 = -0.2 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Jufré
1
65 kgSevilla
3
62 kgMancebo
5
64 kgManzano
8
63 kgGutiérrez
10
71 kgGutiérrez
11
78 kgPasamontes
13
72 kgRibeiro
14
59 kgSiutsou
15
68 kgBeloki
18
66 kgArroyo
19
63 kgFerrío
24
51 kgHernández Blázquez
31
58 kgBernabéu
32
66 kgCasero
33
74 kgLatasa
34
66 kgBayarri
35
67 kgNavas
36
78 kgMercado
37
56 kgFlorencio
38
59 kgCaruso
42
60 kg
1
65 kgSevilla
3
62 kgMancebo
5
64 kgManzano
8
63 kgGutiérrez
10
71 kgGutiérrez
11
78 kgPasamontes
13
72 kgRibeiro
14
59 kgSiutsou
15
68 kgBeloki
18
66 kgArroyo
19
63 kgFerrío
24
51 kgHernández Blázquez
31
58 kgBernabéu
32
66 kgCasero
33
74 kgLatasa
34
66 kgBayarri
35
67 kgNavas
36
78 kgMercado
37
56 kgFlorencio
38
59 kgCaruso
42
60 kg
Weight (KG) →
Result →
78
51
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JUFRÉ Josep | 65 |
| 3 | SEVILLA Óscar | 62 |
| 5 | MANCEBO Francisco | 64 |
| 8 | MANZANO Jesus Maria | 63 |
| 10 | GUTIÉRREZ José Iván | 71 |
| 11 | GUTIÉRREZ José Enrique | 78 |
| 13 | PASAMONTES Luis | 72 |
| 14 | RIBEIRO Nuno | 59 |
| 15 | SIUTSOU Kanstantsin | 68 |
| 18 | BELOKI Gorka | 66 |
| 19 | ARROYO David | 63 |
| 24 | FERRÍO Jorge | 51 |
| 31 | HERNÁNDEZ BLÁZQUEZ Jesús | 58 |
| 32 | BERNABÉU David | 66 |
| 33 | CASERO Rafael | 74 |
| 34 | LATASA David | 66 |
| 35 | BAYARRI Gonzalo | 67 |
| 36 | NAVAS David | 78 |
| 37 | MERCADO Juan Miguel | 56 |
| 38 | FLORENCIO Xavier | 59 |
| 42 | CARUSO Giampaolo | 60 |