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 = 1.5 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
López
1
61 kgReyes
6
55 kgGuamá
14
61 kgArdila
21
59 kgArroyave
27
68 kgParra
28
51 kgOsorio
31
65 kgMuñoz
32
57 kgSanchez
34
55 kgBustamante
37
65 kgPrado
39
65 kgOsorio
45
62 kgRodas
46
68 kgVélez
53
66 kgVargas
58
69 kgBrenes
59
66 kgMcGeough
62
76 kgDuarte
70
55 kgJurado
76
68 kg
1
61 kgReyes
6
55 kgGuamá
14
61 kgArdila
21
59 kgArroyave
27
68 kgParra
28
51 kgOsorio
31
65 kgMuñoz
32
57 kgSanchez
34
55 kgBustamante
37
65 kgPrado
39
65 kgOsorio
45
62 kgRodas
46
68 kgVélez
53
66 kgVargas
58
69 kgBrenes
59
66 kgMcGeough
62
76 kgDuarte
70
55 kgJurado
76
68 kg
Weight (KG) →
Result →
76
51
1
76
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Robinson Fabián | 61 |
| 6 | REYES Aldemar | 55 |
| 14 | GUAMÁ Byron | 61 |
| 21 | ARDILA Andrés Camilo | 59 |
| 27 | ARROYAVE Daniel | 68 |
| 28 | PARRA Heiner Rodrigo | 51 |
| 31 | OSORIO Juan Felipe | 65 |
| 32 | MUÑOZ Daniel | 57 |
| 34 | SANCHEZ Mateo | 55 |
| 37 | BUSTAMANTE Adrián | 65 |
| 39 | PRADO Ignacio de Jesús | 65 |
| 45 | OSORIO Alejandro | 62 |
| 46 | RODAS Manuel | 68 |
| 53 | VÉLEZ Cristian Damián | 66 |
| 58 | VARGAS Walter | 69 |
| 59 | BRENES Sebastian | 66 |
| 62 | MCGEOUGH Cormac | 76 |
| 70 | DUARTE Fabio | 55 |
| 76 | JURADO Christofer Robín | 68 |