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 = 3.2 * weight - 158
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
Caicedo
1
62 kgPinzón
5
62 kgMonsalve
6
62 kgBustamante
7
65 kgCadena
12
63 kgGálviz
13
65 kgRojas
16
64 kgPeñuela
30
56 kgGodoy
38
64 kgCamargo
45
65 kgOsorio
47
62 kgZurita
51
62 kgSoto
75
66 kgLinarez
78
74 kgArroyave
79
68 kgBlanco
81
64 kgRodríguez
82
62 kgRevete
85
62 kgViloria
87
64 kg
1
62 kgPinzón
5
62 kgMonsalve
6
62 kgBustamante
7
65 kgCadena
12
63 kgGálviz
13
65 kgRojas
16
64 kgPeñuela
30
56 kgGodoy
38
64 kgCamargo
45
65 kgOsorio
47
62 kgZurita
51
62 kgSoto
75
66 kgLinarez
78
74 kgArroyave
79
68 kgBlanco
81
64 kgRodríguez
82
62 kgRevete
85
62 kgViloria
87
64 kg
Weight (KG) →
Result →
74
56
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAICEDO Jonathan Klever | 62 |
| 5 | PINZÓN Edgar Andrés | 62 |
| 6 | MONSALVE Yonathan | 62 |
| 7 | BUSTAMANTE Adrián | 65 |
| 12 | CADENA Edgar David | 63 |
| 13 | GÁLVIZ Carlos Johan | 65 |
| 16 | ROJAS Brandon Alejandro | 64 |
| 30 | PEÑUELA Francisco Joel | 56 |
| 38 | GODOY Yonder | 64 |
| 45 | CAMARGO Diego Andrés | 65 |
| 47 | OSORIO Alejandro | 62 |
| 51 | ZURITA Ricardo Alejandro | 62 |
| 75 | SOTO Nelson Andrés | 66 |
| 78 | LINAREZ Leangel Rubén | 74 |
| 79 | ARROYAVE Daniel | 68 |
| 81 | BLANCO Lukas | 64 |
| 82 | RODRÍGUEZ Jhon Anderson | 62 |
| 85 | REVETE Brayan | 62 |
| 87 | VILORIA Enmanuel David | 64 |