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 - 50
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Reyes
4
55 kgLópez
5
61 kgGuamá
6
61 kgPinzón
14
62 kgMuñoz
16
57 kgArdila
17
59 kgVargas
19
69 kgDuarte
21
55 kgRodas
22
68 kgArroyave
25
68 kgParra
43
51 kgBustamante
44
65 kgPrado
47
65 kgMendez
48
57 kgOsorio
52
65 kgSanchez
53
55 kgMcGeough
56
76 kgOsorio
62
62 kgVélez
78
66 kgBrenes
82
66 kgJurado
86
68 kg
4
55 kgLópez
5
61 kgGuamá
6
61 kgPinzón
14
62 kgMuñoz
16
57 kgArdila
17
59 kgVargas
19
69 kgDuarte
21
55 kgRodas
22
68 kgArroyave
25
68 kgParra
43
51 kgBustamante
44
65 kgPrado
47
65 kgMendez
48
57 kgOsorio
52
65 kgSanchez
53
55 kgMcGeough
56
76 kgOsorio
62
62 kgVélez
78
66 kgBrenes
82
66 kgJurado
86
68 kg
Weight (KG) →
Result →
76
51
4
86
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | REYES Aldemar | 55 |
| 5 | LÓPEZ Robinson Fabián | 61 |
| 6 | GUAMÁ Byron | 61 |
| 14 | PINZÓN Edgar Andrés | 62 |
| 16 | MUÑOZ Daniel | 57 |
| 17 | ARDILA Andrés Camilo | 59 |
| 19 | VARGAS Walter | 69 |
| 21 | DUARTE Fabio | 55 |
| 22 | RODAS Manuel | 68 |
| 25 | ARROYAVE Daniel | 68 |
| 43 | PARRA Heiner Rodrigo | 51 |
| 44 | BUSTAMANTE Adrián | 65 |
| 47 | PRADO Ignacio de Jesús | 65 |
| 48 | MENDEZ Daniel Alejandro | 57 |
| 52 | OSORIO Juan Felipe | 65 |
| 53 | SANCHEZ Mateo | 55 |
| 56 | MCGEOUGH Cormac | 76 |
| 62 | OSORIO Alejandro | 62 |
| 78 | VÉLEZ Cristian Damián | 66 |
| 82 | BRENES Sebastian | 66 |
| 86 | JURADO Christofer Robín | 68 |