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 = 1.7 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Ardila
1
59 kgLópez
5
61 kgReyes
8
55 kgOsorio
16
62 kgOsorio
18
65 kgBustamante
19
65 kgSanchez
24
55 kgGuamá
38
61 kgMuñoz
48
57 kgVargas
52
69 kgPrado
56
65 kgVélez
58
66 kgArroyave
59
68 kgDuarte
62
55 kgRodas
73
68 kgBrenes
75
66 kgParra
80
51 kgMcGeough
81
76 kgJurado
89
68 kg
1
59 kgLópez
5
61 kgReyes
8
55 kgOsorio
16
62 kgOsorio
18
65 kgBustamante
19
65 kgSanchez
24
55 kgGuamá
38
61 kgMuñoz
48
57 kgVargas
52
69 kgPrado
56
65 kgVélez
58
66 kgArroyave
59
68 kgDuarte
62
55 kgRodas
73
68 kgBrenes
75
66 kgParra
80
51 kgMcGeough
81
76 kgJurado
89
68 kg
Weight (KG) →
Result →
76
51
1
89
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARDILA Andrés Camilo | 59 |
| 5 | LÓPEZ Robinson Fabián | 61 |
| 8 | REYES Aldemar | 55 |
| 16 | OSORIO Alejandro | 62 |
| 18 | OSORIO Juan Felipe | 65 |
| 19 | BUSTAMANTE Adrián | 65 |
| 24 | SANCHEZ Mateo | 55 |
| 38 | GUAMÁ Byron | 61 |
| 48 | MUÑOZ Daniel | 57 |
| 52 | VARGAS Walter | 69 |
| 56 | PRADO Ignacio de Jesús | 65 |
| 58 | VÉLEZ Cristian Damián | 66 |
| 59 | ARROYAVE Daniel | 68 |
| 62 | DUARTE Fabio | 55 |
| 73 | RODAS Manuel | 68 |
| 75 | BRENES Sebastian | 66 |
| 80 | PARRA Heiner Rodrigo | 51 |
| 81 | MCGEOUGH Cormac | 76 |
| 89 | JURADO Christofer Robín | 68 |