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 - 53
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 kgArdila
17
59 kgParra
25
51 kgOsorio
27
65 kgMuñoz
28
57 kgArroyave
30
68 kgOsorio
32
62 kgSanchez
36
55 kgPrado
43
65 kgBustamante
44
65 kgRodas
46
68 kgVargas
48
69 kgMcGeough
52
76 kgBrenes
56
66 kgDuarte
60
55 kgVélez
61
66 kgJurado
74
68 kg
1
61 kgReyes
6
55 kgArdila
17
59 kgParra
25
51 kgOsorio
27
65 kgMuñoz
28
57 kgArroyave
30
68 kgOsorio
32
62 kgSanchez
36
55 kgPrado
43
65 kgBustamante
44
65 kgRodas
46
68 kgVargas
48
69 kgMcGeough
52
76 kgBrenes
56
66 kgDuarte
60
55 kgVélez
61
66 kgJurado
74
68 kg
Weight (KG) →
Result →
76
51
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Robinson Fabián | 61 |
| 6 | REYES Aldemar | 55 |
| 17 | ARDILA Andrés Camilo | 59 |
| 25 | PARRA Heiner Rodrigo | 51 |
| 27 | OSORIO Juan Felipe | 65 |
| 28 | MUÑOZ Daniel | 57 |
| 30 | ARROYAVE Daniel | 68 |
| 32 | OSORIO Alejandro | 62 |
| 36 | SANCHEZ Mateo | 55 |
| 43 | PRADO Ignacio de Jesús | 65 |
| 44 | BUSTAMANTE Adrián | 65 |
| 46 | RODAS Manuel | 68 |
| 48 | VARGAS Walter | 69 |
| 52 | MCGEOUGH Cormac | 76 |
| 56 | BRENES Sebastian | 66 |
| 60 | DUARTE Fabio | 55 |
| 61 | VÉLEZ Cristian Damián | 66 |
| 74 | JURADO Christofer Robín | 68 |