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 = 1.4 * weight - 36
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
López
1
61 kgReyes
8
55 kgGuamá
11
61 kgSanchez
20
55 kgParra
24
51 kgArroyave
31
68 kgMuñoz
33
57 kgVélez
36
66 kgPrado
37
65 kgOsorio
43
65 kgRodas
52
68 kgOsorio
61
62 kgBrenes
62
66 kgBustamante
65
65 kgArdila
68
59 kgVargas
73
69 kgMcGeough
74
76 kgJurado
81
68 kgDuarte
82
55 kgMendez
93
57 kgPinzón
105
62 kg
1
61 kgReyes
8
55 kgGuamá
11
61 kgSanchez
20
55 kgParra
24
51 kgArroyave
31
68 kgMuñoz
33
57 kgVélez
36
66 kgPrado
37
65 kgOsorio
43
65 kgRodas
52
68 kgOsorio
61
62 kgBrenes
62
66 kgBustamante
65
65 kgArdila
68
59 kgVargas
73
69 kgMcGeough
74
76 kgJurado
81
68 kgDuarte
82
55 kgMendez
93
57 kgPinzón
105
62 kg
Weight (KG) →
Result →
76
51
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Robinson Fabián | 61 |
| 8 | REYES Aldemar | 55 |
| 11 | GUAMÁ Byron | 61 |
| 20 | SANCHEZ Mateo | 55 |
| 24 | PARRA Heiner Rodrigo | 51 |
| 31 | ARROYAVE Daniel | 68 |
| 33 | MUÑOZ Daniel | 57 |
| 36 | VÉLEZ Cristian Damián | 66 |
| 37 | PRADO Ignacio de Jesús | 65 |
| 43 | OSORIO Juan Felipe | 65 |
| 52 | RODAS Manuel | 68 |
| 61 | OSORIO Alejandro | 62 |
| 62 | BRENES Sebastian | 66 |
| 65 | BUSTAMANTE Adrián | 65 |
| 68 | ARDILA Andrés Camilo | 59 |
| 73 | VARGAS Walter | 69 |
| 74 | MCGEOUGH Cormac | 76 |
| 81 | JURADO Christofer Robín | 68 |
| 82 | DUARTE Fabio | 55 |
| 93 | MENDEZ Daniel Alejandro | 57 |
| 105 | PINZÓN Edgar Andrés | 62 |