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 = 0.6 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
López
3
61 kgArdila
5
59 kgReyes
6
55 kgVélez
19
66 kgOsorio
21
65 kgParra
27
51 kgGuamá
30
61 kgVargas
31
69 kgArroyave
38
68 kgBrenes
39
66 kgRodas
54
68 kgSanchez
60
55 kgJurado
63
68 kgPrado
64
65 kgMcGeough
67
76 kgOsorio
69
62 kgBustamante
70
65 kgMuñoz
71
57 kgDuarte
85
55 kg
3
61 kgArdila
5
59 kgReyes
6
55 kgVélez
19
66 kgOsorio
21
65 kgParra
27
51 kgGuamá
30
61 kgVargas
31
69 kgArroyave
38
68 kgBrenes
39
66 kgRodas
54
68 kgSanchez
60
55 kgJurado
63
68 kgPrado
64
65 kgMcGeough
67
76 kgOsorio
69
62 kgBustamante
70
65 kgMuñoz
71
57 kgDuarte
85
55 kg
Weight (KG) →
Result →
76
51
3
85
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LÓPEZ Robinson Fabián | 61 |
| 5 | ARDILA Andrés Camilo | 59 |
| 6 | REYES Aldemar | 55 |
| 19 | VÉLEZ Cristian Damián | 66 |
| 21 | OSORIO Juan Felipe | 65 |
| 27 | PARRA Heiner Rodrigo | 51 |
| 30 | GUAMÁ Byron | 61 |
| 31 | VARGAS Walter | 69 |
| 38 | ARROYAVE Daniel | 68 |
| 39 | BRENES Sebastian | 66 |
| 54 | RODAS Manuel | 68 |
| 60 | SANCHEZ Mateo | 55 |
| 63 | JURADO Christofer Robín | 68 |
| 64 | PRADO Ignacio de Jesús | 65 |
| 67 | MCGEOUGH Cormac | 76 |
| 69 | OSORIO Alejandro | 62 |
| 70 | BUSTAMANTE Adrián | 65 |
| 71 | MUÑOZ Daniel | 57 |
| 85 | DUARTE Fabio | 55 |