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 = 1.9 * weight - 74
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
López
2
61 kgReyes
6
55 kgGuamá
16
61 kgParra
17
51 kgArdila
25
59 kgArroyave
26
68 kgSanchez
36
55 kgOsorio
37
65 kgBustamante
39
65 kgMuñoz
40
57 kgVélez
41
66 kgBrenes
42
66 kgPrado
57
65 kgRodas
60
68 kgMcGeough
68
76 kgOsorio
84
62 kgVargas
90
69 kgDuarte
91
55 kgJurado
96
68 kg
2
61 kgReyes
6
55 kgGuamá
16
61 kgParra
17
51 kgArdila
25
59 kgArroyave
26
68 kgSanchez
36
55 kgOsorio
37
65 kgBustamante
39
65 kgMuñoz
40
57 kgVélez
41
66 kgBrenes
42
66 kgPrado
57
65 kgRodas
60
68 kgMcGeough
68
76 kgOsorio
84
62 kgVargas
90
69 kgDuarte
91
55 kgJurado
96
68 kg
Weight (KG) →
Result →
76
51
2
96
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LÓPEZ Robinson Fabián | 61 |
| 6 | REYES Aldemar | 55 |
| 16 | GUAMÁ Byron | 61 |
| 17 | PARRA Heiner Rodrigo | 51 |
| 25 | ARDILA Andrés Camilo | 59 |
| 26 | ARROYAVE Daniel | 68 |
| 36 | SANCHEZ Mateo | 55 |
| 37 | OSORIO Juan Felipe | 65 |
| 39 | BUSTAMANTE Adrián | 65 |
| 40 | MUÑOZ Daniel | 57 |
| 41 | VÉLEZ Cristian Damián | 66 |
| 42 | BRENES Sebastian | 66 |
| 57 | PRADO Ignacio de Jesús | 65 |
| 60 | RODAS Manuel | 68 |
| 68 | MCGEOUGH Cormac | 76 |
| 84 | OSORIO Alejandro | 62 |
| 90 | VARGAS Walter | 69 |
| 91 | DUARTE Fabio | 55 |
| 96 | JURADO Christofer Robín | 68 |