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 = 0.2 * weight + 32
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Soto
6
66 kgPeñuela
8
56 kgOsorio
9
62 kgBustamante
12
65 kgZurita
16
62 kgGodoy
18
64 kgRojas
19
64 kgLinarez
20
74 kgCamargo
26
65 kgCaicedo
42
62 kgCadena
43
63 kgGálviz
44
65 kgMonsalve
46
62 kgViloria
66
64 kgRevete
72
62 kgPinzón
76
62 kgRodríguez
90
62 kgArroyave
95
68 kgBlanco
97
64 kg
6
66 kgPeñuela
8
56 kgOsorio
9
62 kgBustamante
12
65 kgZurita
16
62 kgGodoy
18
64 kgRojas
19
64 kgLinarez
20
74 kgCamargo
26
65 kgCaicedo
42
62 kgCadena
43
63 kgGálviz
44
65 kgMonsalve
46
62 kgViloria
66
64 kgRevete
72
62 kgPinzón
76
62 kgRodríguez
90
62 kgArroyave
95
68 kgBlanco
97
64 kg
Weight (KG) →
Result →
74
56
6
97
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SOTO Nelson Andrés | 66 |
| 8 | PEÑUELA Francisco Joel | 56 |
| 9 | OSORIO Alejandro | 62 |
| 12 | BUSTAMANTE Adrián | 65 |
| 16 | ZURITA Ricardo Alejandro | 62 |
| 18 | GODOY Yonder | 64 |
| 19 | ROJAS Brandon Alejandro | 64 |
| 20 | LINAREZ Leangel Rubén | 74 |
| 26 | CAMARGO Diego Andrés | 65 |
| 42 | CAICEDO Jonathan Klever | 62 |
| 43 | CADENA Edgar David | 63 |
| 44 | GÁLVIZ Carlos Johan | 65 |
| 46 | MONSALVE Yonathan | 62 |
| 66 | VILORIA Enmanuel David | 64 |
| 72 | REVETE Brayan | 62 |
| 76 | PINZÓN Edgar Andrés | 62 |
| 90 | RODRÍGUEZ Jhon Anderson | 62 |
| 95 | ARROYAVE Daniel | 68 |
| 97 | BLANCO Lukas | 64 |