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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Martín Perdiguero
1
63 kgKarpets
2
79 kgPérez Rodríguez
4
67 kgLaiseka
5
63 kgvan Heeswijk
6
73 kgParra
7
62 kgRodríguez
8
58 kgLatasa
9
66 kgCárdenas
10
59 kgCarrara
11
67 kgLópez de Munain
12
65 kgHondo
13
73 kgLastras
14
68 kgAtienza
15
60 kgBossoni
16
62 kgCaruso
17
60 kgSánchez
18
60 kgNocentini
19
60 kgMartinez
21
67 kgDueñas
22
61 kgJufré
23
65 kgPiepoli
24
54 kg
1
63 kgKarpets
2
79 kgPérez Rodríguez
4
67 kgLaiseka
5
63 kgvan Heeswijk
6
73 kgParra
7
62 kgRodríguez
8
58 kgLatasa
9
66 kgCárdenas
10
59 kgCarrara
11
67 kgLópez de Munain
12
65 kgHondo
13
73 kgLastras
14
68 kgAtienza
15
60 kgBossoni
16
62 kgCaruso
17
60 kgSánchez
18
60 kgNocentini
19
60 kgMartinez
21
67 kgDueñas
22
61 kgJufré
23
65 kgPiepoli
24
54 kg
Weight (KG) →
Result →
79
54
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
2 | KARPETS Vladimir | 79 |
4 | PÉREZ RODRÍGUEZ Luis | 67 |
5 | LAISEKA Roberto | 63 |
6 | VAN HEESWIJK Max | 73 |
7 | PARRA Iván Ramiro | 62 |
8 | RODRÍGUEZ Joaquim | 58 |
9 | LATASA David | 66 |
10 | CÁRDENAS Félix Rafael | 59 |
11 | CARRARA Matteo | 67 |
12 | LÓPEZ DE MUNAIN Alberto | 65 |
13 | HONDO Danilo | 73 |
14 | LASTRAS Pablo | 68 |
15 | ATIENZA Daniel | 60 |
16 | BOSSONI Paolo | 62 |
17 | CARUSO Giampaolo | 60 |
18 | SÁNCHEZ Julián | 60 |
19 | NOCENTINI Rinaldo | 60 |
21 | MARTINEZ José Alberto | 67 |
22 | DUEÑAS Moisés | 61 |
23 | JUFRÉ Josep | 65 |
24 | PIEPOLI Leonardo | 54 |