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 = 1.5 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Caicedo
1
62 kgCadena
2
63 kgPinzón
5
62 kgMonsalve
9
62 kgBustamante
10
65 kgGálviz
12
65 kgGodoy
16
64 kgPeñuela
21
56 kgRojas
25
64 kgCamargo
48
65 kgOsorio
49
62 kgLinarez
54
74 kgSoto
58
66 kgArroyave
60
68 kgViloria
67
64 kgRevete
79
62 kgZurita
81
62 kgBlanco
88
64 kgRodríguez
96
62 kg
1
62 kgCadena
2
63 kgPinzón
5
62 kgMonsalve
9
62 kgBustamante
10
65 kgGálviz
12
65 kgGodoy
16
64 kgPeñuela
21
56 kgRojas
25
64 kgCamargo
48
65 kgOsorio
49
62 kgLinarez
54
74 kgSoto
58
66 kgArroyave
60
68 kgViloria
67
64 kgRevete
79
62 kgZurita
81
62 kgBlanco
88
64 kgRodríguez
96
62 kg
Weight (KG) →
Result →
74
56
1
96
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAICEDO Jonathan Klever | 62 |
| 2 | CADENA Edgar David | 63 |
| 5 | PINZÓN Edgar Andrés | 62 |
| 9 | MONSALVE Yonathan | 62 |
| 10 | BUSTAMANTE Adrián | 65 |
| 12 | GÁLVIZ Carlos Johan | 65 |
| 16 | GODOY Yonder | 64 |
| 21 | PEÑUELA Francisco Joel | 56 |
| 25 | ROJAS Brandon Alejandro | 64 |
| 48 | CAMARGO Diego Andrés | 65 |
| 49 | OSORIO Alejandro | 62 |
| 54 | LINAREZ Leangel Rubén | 74 |
| 58 | SOTO Nelson Andrés | 66 |
| 60 | ARROYAVE Daniel | 68 |
| 67 | VILORIA Enmanuel David | 64 |
| 79 | REVETE Brayan | 62 |
| 81 | ZURITA Ricardo Alejandro | 62 |
| 88 | BLANCO Lukas | 64 |
| 96 | RODRÍGUEZ Jhon Anderson | 62 |