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 = 3.1 * weight - 153
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Caicedo
2
62 kgMonsalve
4
62 kgPinzón
6
62 kgBustamante
7
65 kgRojas
10
64 kgCadena
13
63 kgGálviz
18
65 kgPeñuela
37
56 kgZurita
50
62 kgCamargo
56
65 kgOsorio
57
62 kgGodoy
64
64 kgBlanco
70
64 kgLinarez
72
74 kgRevete
74
62 kgViloria
80
64 kgRodríguez
85
62 kgSoto
91
66 kgArroyave
92
68 kg
2
62 kgMonsalve
4
62 kgPinzón
6
62 kgBustamante
7
65 kgRojas
10
64 kgCadena
13
63 kgGálviz
18
65 kgPeñuela
37
56 kgZurita
50
62 kgCamargo
56
65 kgOsorio
57
62 kgGodoy
64
64 kgBlanco
70
64 kgLinarez
72
74 kgRevete
74
62 kgViloria
80
64 kgRodríguez
85
62 kgSoto
91
66 kgArroyave
92
68 kg
Weight (KG) →
Result →
74
56
2
92
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CAICEDO Jonathan Klever | 62 |
| 4 | MONSALVE Yonathan | 62 |
| 6 | PINZÓN Edgar Andrés | 62 |
| 7 | BUSTAMANTE Adrián | 65 |
| 10 | ROJAS Brandon Alejandro | 64 |
| 13 | CADENA Edgar David | 63 |
| 18 | GÁLVIZ Carlos Johan | 65 |
| 37 | PEÑUELA Francisco Joel | 56 |
| 50 | ZURITA Ricardo Alejandro | 62 |
| 56 | CAMARGO Diego Andrés | 65 |
| 57 | OSORIO Alejandro | 62 |
| 64 | GODOY Yonder | 64 |
| 70 | BLANCO Lukas | 64 |
| 72 | LINAREZ Leangel Rubén | 74 |
| 74 | REVETE Brayan | 62 |
| 80 | VILORIA Enmanuel David | 64 |
| 85 | RODRÍGUEZ Jhon Anderson | 62 |
| 91 | SOTO Nelson Andrés | 66 |
| 92 | ARROYAVE Daniel | 68 |