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 = 4.7 * weight - 254
This means that on average for every extra kilogram weight a rider loses 4.7 positions in the result.
Soto
1
66 kgPeñuela
3
56 kgZurita
5
62 kgOsorio
11
62 kgGodoy
14
64 kgCadena
15
63 kgCaicedo
19
62 kgPinzón
27
62 kgMonsalve
29
62 kgGálviz
31
65 kgRevete
39
62 kgViloria
45
64 kgLinarez
73
74 kgCamargo
81
65 kgRodríguez
86
62 kgBustamante
88
65 kgRojas
89
64 kgBlanco
90
64 kgArroyave
92
68 kg
1
66 kgPeñuela
3
56 kgZurita
5
62 kgOsorio
11
62 kgGodoy
14
64 kgCadena
15
63 kgCaicedo
19
62 kgPinzón
27
62 kgMonsalve
29
62 kgGálviz
31
65 kgRevete
39
62 kgViloria
45
64 kgLinarez
73
74 kgCamargo
81
65 kgRodríguez
86
62 kgBustamante
88
65 kgRojas
89
64 kgBlanco
90
64 kgArroyave
92
68 kg
Weight (KG) →
Result →
74
56
1
92
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOTO Nelson Andrés | 66 |
| 3 | PEÑUELA Francisco Joel | 56 |
| 5 | ZURITA Ricardo Alejandro | 62 |
| 11 | OSORIO Alejandro | 62 |
| 14 | GODOY Yonder | 64 |
| 15 | CADENA Edgar David | 63 |
| 19 | CAICEDO Jonathan Klever | 62 |
| 27 | PINZÓN Edgar Andrés | 62 |
| 29 | MONSALVE Yonathan | 62 |
| 31 | GÁLVIZ Carlos Johan | 65 |
| 39 | REVETE Brayan | 62 |
| 45 | VILORIA Enmanuel David | 64 |
| 73 | LINAREZ Leangel Rubén | 74 |
| 81 | CAMARGO Diego Andrés | 65 |
| 86 | RODRÍGUEZ Jhon Anderson | 62 |
| 88 | BUSTAMANTE Adrián | 65 |
| 89 | ROJAS Brandon Alejandro | 64 |
| 90 | BLANCO Lukas | 64 |
| 92 | ARROYAVE Daniel | 68 |