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 = 2.2 * weight - 104
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Osorio
2
62 kgCaicedo
5
62 kgMonsalve
8
62 kgRojas
12
64 kgPinzón
16
62 kgCamargo
17
65 kgGálviz
19
65 kgCadena
27
63 kgPeñuela
44
56 kgGodoy
46
64 kgArroyave
47
68 kgViloria
55
64 kgBlanco
56
64 kgRodríguez
58
62 kgSoto
61
66 kgZurita
66
62 kgLinarez
79
74 kgRevete
82
62 kg
2
62 kgCaicedo
5
62 kgMonsalve
8
62 kgRojas
12
64 kgPinzón
16
62 kgCamargo
17
65 kgGálviz
19
65 kgCadena
27
63 kgPeñuela
44
56 kgGodoy
46
64 kgArroyave
47
68 kgViloria
55
64 kgBlanco
56
64 kgRodríguez
58
62 kgSoto
61
66 kgZurita
66
62 kgLinarez
79
74 kgRevete
82
62 kg
Weight (KG) →
Result →
74
56
2
82
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OSORIO Alejandro | 62 |
| 5 | CAICEDO Jonathan Klever | 62 |
| 8 | MONSALVE Yonathan | 62 |
| 12 | ROJAS Brandon Alejandro | 64 |
| 16 | PINZÓN Edgar Andrés | 62 |
| 17 | CAMARGO Diego Andrés | 65 |
| 19 | GÁLVIZ Carlos Johan | 65 |
| 27 | CADENA Edgar David | 63 |
| 44 | PEÑUELA Francisco Joel | 56 |
| 46 | GODOY Yonder | 64 |
| 47 | ARROYAVE Daniel | 68 |
| 55 | VILORIA Enmanuel David | 64 |
| 56 | BLANCO Lukas | 64 |
| 58 | RODRÍGUEZ Jhon Anderson | 62 |
| 61 | SOTO Nelson Andrés | 66 |
| 66 | ZURITA Ricardo Alejandro | 62 |
| 79 | LINAREZ Leangel Rubén | 74 |
| 82 | REVETE Brayan | 62 |