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 = -1.3 * weight + 108
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Plaza
1
77 kgLastras
4
68 kgSerrano
5
67 kgArroyo
9
63 kgBernabéu
10
66 kgPecharromán
11
78 kgMosquera
12
65 kgMoreno
13
63 kgAlarcón
14
72 kgOrtega
15
68 kgCosme
21
61 kgVelasco
22
65 kgPerget
26
64 kgPereiro
27
67 kgGarcia
32
55 kgOroz
33
71 kgPiedra
36
61 kgCabello
40
72 kgHerrada
43
65 kgHernández Blázquez
44
58 kgPalomares
46
56 kgSánchez
47
60 kg
1
77 kgLastras
4
68 kgSerrano
5
67 kgArroyo
9
63 kgBernabéu
10
66 kgPecharromán
11
78 kgMosquera
12
65 kgMoreno
13
63 kgAlarcón
14
72 kgOrtega
15
68 kgCosme
21
61 kgVelasco
22
65 kgPerget
26
64 kgPereiro
27
67 kgGarcia
32
55 kgOroz
33
71 kgPiedra
36
61 kgCabello
40
72 kgHerrada
43
65 kgHernández Blázquez
44
58 kgPalomares
46
56 kgSánchez
47
60 kg
Weight (KG) →
Result →
78
55
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLAZA Rubén | 77 |
| 4 | LASTRAS Pablo | 68 |
| 5 | SERRANO Ricardo | 67 |
| 9 | ARROYO David | 63 |
| 10 | BERNABÉU David | 66 |
| 11 | PECHARROMÁN José Antonio | 78 |
| 12 | MOSQUERA Ezequiel | 65 |
| 13 | MORENO Javier | 63 |
| 14 | ALARCÓN Raúl | 72 |
| 15 | ORTEGA Manuel | 68 |
| 21 | COSME Antonio | 61 |
| 22 | VELASCO Iván | 65 |
| 26 | PERGET Mathieu | 64 |
| 27 | PEREIRO Óscar | 67 |
| 32 | GARCIA Marcos | 55 |
| 33 | OROZ Juan José | 71 |
| 36 | PIEDRA Antonio | 61 |
| 40 | CABELLO Francisco | 72 |
| 43 | HERRADA José | 65 |
| 44 | HERNÁNDEZ BLÁZQUEZ Jesús | 58 |
| 46 | PALOMARES Adrián | 56 |
| 47 | SÁNCHEZ Julián | 60 |