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 = 0.7 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Guamá
1
61 kgReyes
6
55 kgOsorio
7
62 kgLópez
12
61 kgBrenes
30
66 kgJurado
31
68 kgOsorio
34
65 kgPrado
39
65 kgSanchez
42
55 kgMuñoz
43
57 kgArroyave
45
68 kgBustamante
46
65 kgParra
47
51 kgRodas
66
68 kgMendez
74
57 kgVélez
75
66 kgMcGeough
76
76 kgVargas
82
69 kgDuarte
88
55 kgPinzón
90
62 kgArdila
91
59 kg
1
61 kgReyes
6
55 kgOsorio
7
62 kgLópez
12
61 kgBrenes
30
66 kgJurado
31
68 kgOsorio
34
65 kgPrado
39
65 kgSanchez
42
55 kgMuñoz
43
57 kgArroyave
45
68 kgBustamante
46
65 kgParra
47
51 kgRodas
66
68 kgMendez
74
57 kgVélez
75
66 kgMcGeough
76
76 kgVargas
82
69 kgDuarte
88
55 kgPinzón
90
62 kgArdila
91
59 kg
Weight (KG) →
Result →
76
51
1
91
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 6 | REYES Aldemar | 55 |
| 7 | OSORIO Alejandro | 62 |
| 12 | LÓPEZ Robinson Fabián | 61 |
| 30 | BRENES Sebastian | 66 |
| 31 | JURADO Christofer Robín | 68 |
| 34 | OSORIO Juan Felipe | 65 |
| 39 | PRADO Ignacio de Jesús | 65 |
| 42 | SANCHEZ Mateo | 55 |
| 43 | MUÑOZ Daniel | 57 |
| 45 | ARROYAVE Daniel | 68 |
| 46 | BUSTAMANTE Adrián | 65 |
| 47 | PARRA Heiner Rodrigo | 51 |
| 66 | RODAS Manuel | 68 |
| 74 | MENDEZ Daniel Alejandro | 57 |
| 75 | VÉLEZ Cristian Damián | 66 |
| 76 | MCGEOUGH Cormac | 76 |
| 82 | VARGAS Walter | 69 |
| 88 | DUARTE Fabio | 55 |
| 90 | PINZÓN Edgar Andrés | 62 |
| 91 | ARDILA Andrés Camilo | 59 |