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 = 3.8 * weight - 194
This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
Bustamante
3
65 kgOsorio
4
62 kgMonsalve
7
62 kgCamargo
15
65 kgPinzón
16
62 kgGodoy
19
64 kgGálviz
22
65 kgCaicedo
27
62 kgPeñuela
30
56 kgRojas
36
64 kgZurita
47
62 kgCadena
61
63 kgSoto
80
66 kgArroyave
82
68 kgBlanco
91
64 kgRodríguez
97
62 kgLinarez
102
74 kgViloria
107
64 kgRevete
115
62 kg
3
65 kgOsorio
4
62 kgMonsalve
7
62 kgCamargo
15
65 kgPinzón
16
62 kgGodoy
19
64 kgGálviz
22
65 kgCaicedo
27
62 kgPeñuela
30
56 kgRojas
36
64 kgZurita
47
62 kgCadena
61
63 kgSoto
80
66 kgArroyave
82
68 kgBlanco
91
64 kgRodríguez
97
62 kgLinarez
102
74 kgViloria
107
64 kgRevete
115
62 kg
Weight (KG) →
Result →
74
56
3
115
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BUSTAMANTE Adrián | 65 |
| 4 | OSORIO Alejandro | 62 |
| 7 | MONSALVE Yonathan | 62 |
| 15 | CAMARGO Diego Andrés | 65 |
| 16 | PINZÓN Edgar Andrés | 62 |
| 19 | GODOY Yonder | 64 |
| 22 | GÁLVIZ Carlos Johan | 65 |
| 27 | CAICEDO Jonathan Klever | 62 |
| 30 | PEÑUELA Francisco Joel | 56 |
| 36 | ROJAS Brandon Alejandro | 64 |
| 47 | ZURITA Ricardo Alejandro | 62 |
| 61 | CADENA Edgar David | 63 |
| 80 | SOTO Nelson Andrés | 66 |
| 82 | ARROYAVE Daniel | 68 |
| 91 | BLANCO Lukas | 64 |
| 97 | RODRÍGUEZ Jhon Anderson | 62 |
| 102 | LINAREZ Leangel Rubén | 74 |
| 107 | VILORIA Enmanuel David | 64 |
| 115 | REVETE Brayan | 62 |