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 + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Martín Perdiguero
1
63 kgKarpets
2
79 kgLaiseka
4
63 kgParra
5
62 kgLatasa
6
66 kgPérez Rodríguez
7
67 kgLópez de Munain
8
65 kgRodríguez
9
58 kgCárdenas
10
59 kgPiepoli
11
54 kgJufré
12
65 kgCarrara
13
67 kgHondo
14
73 kgLastras
15
68 kgAtienza
16
60 kgCuesta
17
62 kgBossoni
18
62 kgCaruso
19
60 kgSánchez
21
60 kgValverde
23
61 kgNocentini
24
60 kgBaranowski
25
68 kg
1
63 kgKarpets
2
79 kgLaiseka
4
63 kgParra
5
62 kgLatasa
6
66 kgPérez Rodríguez
7
67 kgLópez de Munain
8
65 kgRodríguez
9
58 kgCárdenas
10
59 kgPiepoli
11
54 kgJufré
12
65 kgCarrara
13
67 kgHondo
14
73 kgLastras
15
68 kgAtienza
16
60 kgCuesta
17
62 kgBossoni
18
62 kgCaruso
19
60 kgSánchez
21
60 kgValverde
23
61 kgNocentini
24
60 kgBaranowski
25
68 kg
Weight (KG) →
Result →
79
54
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
2 | KARPETS Vladimir | 79 |
4 | LAISEKA Roberto | 63 |
5 | PARRA Iván Ramiro | 62 |
6 | LATASA David | 66 |
7 | PÉREZ RODRÍGUEZ Luis | 67 |
8 | LÓPEZ DE MUNAIN Alberto | 65 |
9 | RODRÍGUEZ Joaquim | 58 |
10 | CÁRDENAS Félix Rafael | 59 |
11 | PIEPOLI Leonardo | 54 |
12 | JUFRÉ Josep | 65 |
13 | CARRARA Matteo | 67 |
14 | HONDO Danilo | 73 |
15 | LASTRAS Pablo | 68 |
16 | ATIENZA Daniel | 60 |
17 | CUESTA Iñigo | 62 |
18 | BOSSONI Paolo | 62 |
19 | CARUSO Giampaolo | 60 |
21 | SÁNCHEZ Julián | 60 |
23 | VALVERDE Alejandro | 61 |
24 | NOCENTINI Rinaldo | 60 |
25 | BARANOWSKI Dariusz | 68 |