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 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Cárdenas
2
59 kgAmorim
3
67 kgMayo
4
65 kgJeker
6
72 kgMancebo
7
64 kgParra
8
62 kgPiepoli
9
54 kgArroyo
10
63 kgLópez de Munain
13
65 kgMartín Perdiguero
14
63 kgSabido
16
70 kgSánchez
17
65 kgZubeldia
18
68 kgHeras
19
59 kgBrôco
20
66 kgPradera
22
66 kgGómez Marchante
24
60 kgOdriozola
28
70 kgVande Velde
29
69 kgCaruso
30
60 kgBarredo
31
61 kgLaguna
35
61 kg
2
59 kgAmorim
3
67 kgMayo
4
65 kgJeker
6
72 kgMancebo
7
64 kgParra
8
62 kgPiepoli
9
54 kgArroyo
10
63 kgLópez de Munain
13
65 kgMartín Perdiguero
14
63 kgSabido
16
70 kgSánchez
17
65 kgZubeldia
18
68 kgHeras
19
59 kgBrôco
20
66 kgPradera
22
66 kgGómez Marchante
24
60 kgOdriozola
28
70 kgVande Velde
29
69 kgCaruso
30
60 kgBarredo
31
61 kgLaguna
35
61 kg
Weight (KG) →
Result →
72
54
2
35
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CÁRDENAS Félix Rafael | 59 |
| 3 | AMORIM Gonçalo | 67 |
| 4 | MAYO Iban | 65 |
| 6 | JEKER Fabian | 72 |
| 7 | MANCEBO Francisco | 64 |
| 8 | PARRA Iván Ramiro | 62 |
| 9 | PIEPOLI Leonardo | 54 |
| 10 | ARROYO David | 63 |
| 13 | LÓPEZ DE MUNAIN Alberto | 65 |
| 14 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 16 | SABIDO Hugo | 70 |
| 17 | SÁNCHEZ Samuel | 65 |
| 18 | ZUBELDIA Haimar | 68 |
| 19 | HERAS Roberto | 59 |
| 20 | BRÔCO Hernâni | 66 |
| 22 | PRADERA Mikel | 66 |
| 24 | GÓMEZ MARCHANTE José Ángel | 60 |
| 28 | ODRIOZOLA Jon | 70 |
| 29 | VANDE VELDE Christian | 69 |
| 30 | CARUSO Giampaolo | 60 |
| 31 | BARREDO Carlos | 61 |
| 35 | LAGUNA Oscar | 61 |