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 = 1.8 * weight - 71
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
López
2
61 kgReyes
5
55 kgGuamá
13
61 kgArroyave
22
68 kgParra
26
51 kgMuñoz
27
57 kgArdila
29
59 kgSanchez
30
55 kgBustamante
34
65 kgOsorio
35
65 kgPrado
40
65 kgOsorio
45
62 kgRodas
46
68 kgVélez
57
66 kgBrenes
60
66 kgMcGeough
64
76 kgVargas
65
69 kgDuarte
66
55 kgJurado
77
68 kg
2
61 kgReyes
5
55 kgGuamá
13
61 kgArroyave
22
68 kgParra
26
51 kgMuñoz
27
57 kgArdila
29
59 kgSanchez
30
55 kgBustamante
34
65 kgOsorio
35
65 kgPrado
40
65 kgOsorio
45
62 kgRodas
46
68 kgVélez
57
66 kgBrenes
60
66 kgMcGeough
64
76 kgVargas
65
69 kgDuarte
66
55 kgJurado
77
68 kg
Weight (KG) →
Result →
76
51
2
77
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LÓPEZ Robinson Fabián | 61 |
| 5 | REYES Aldemar | 55 |
| 13 | GUAMÁ Byron | 61 |
| 22 | ARROYAVE Daniel | 68 |
| 26 | PARRA Heiner Rodrigo | 51 |
| 27 | MUÑOZ Daniel | 57 |
| 29 | ARDILA Andrés Camilo | 59 |
| 30 | SANCHEZ Mateo | 55 |
| 34 | BUSTAMANTE Adrián | 65 |
| 35 | OSORIO Juan Felipe | 65 |
| 40 | PRADO Ignacio de Jesús | 65 |
| 45 | OSORIO Alejandro | 62 |
| 46 | RODAS Manuel | 68 |
| 57 | VÉLEZ Cristian Damián | 66 |
| 60 | BRENES Sebastian | 66 |
| 64 | MCGEOUGH Cormac | 76 |
| 65 | VARGAS Walter | 69 |
| 66 | DUARTE Fabio | 55 |
| 77 | JURADO Christofer Robín | 68 |