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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Martín Perdiguero
1
63 kgKarpets
2
79 kgvan Heeswijk
3
73 kgHondo
4
73 kgLaiseka
6
63 kgLatasa
7
66 kgParra
8
62 kgDavis
9
73 kgHaselbacher
10
69 kgValverde
11
61 kgPérez Rodríguez
12
67 kgHerrero
13
61 kgLastras
15
68 kgLópez de Munain
16
65 kgRodríguez
17
58 kgPozzato
18
73 kgNocentini
19
60 kgLorenzetto
20
71 kgCárdenas
21
59 kgPiepoli
22
54 kgBossoni
23
62 kgJufré
25
65 kg
1
63 kgKarpets
2
79 kgvan Heeswijk
3
73 kgHondo
4
73 kgLaiseka
6
63 kgLatasa
7
66 kgParra
8
62 kgDavis
9
73 kgHaselbacher
10
69 kgValverde
11
61 kgPérez Rodríguez
12
67 kgHerrero
13
61 kgLastras
15
68 kgLópez de Munain
16
65 kgRodríguez
17
58 kgPozzato
18
73 kgNocentini
19
60 kgLorenzetto
20
71 kgCárdenas
21
59 kgPiepoli
22
54 kgBossoni
23
62 kgJufré
25
65 kg
Weight (KG) →
Result →
79
54
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
2 | KARPETS Vladimir | 79 |
3 | VAN HEESWIJK Max | 73 |
4 | HONDO Danilo | 73 |
6 | LAISEKA Roberto | 63 |
7 | LATASA David | 66 |
8 | PARRA Iván Ramiro | 62 |
9 | DAVIS Allan | 73 |
10 | HASELBACHER René | 69 |
11 | VALVERDE Alejandro | 61 |
12 | PÉREZ RODRÍGUEZ Luis | 67 |
13 | HERRERO David | 61 |
15 | LASTRAS Pablo | 68 |
16 | LÓPEZ DE MUNAIN Alberto | 65 |
17 | RODRÍGUEZ Joaquim | 58 |
18 | POZZATO Filippo | 73 |
19 | NOCENTINI Rinaldo | 60 |
20 | LORENZETTO Mirco | 71 |
21 | CÁRDENAS Félix Rafael | 59 |
22 | PIEPOLI Leonardo | 54 |
23 | BOSSONI Paolo | 62 |
25 | JUFRÉ Josep | 65 |