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 + 1
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
McGeough
1
76 kgSanchez
4
55 kgReyes
7
55 kgOsorio
8
62 kgMuñoz
9
57 kgGuamá
14
61 kgLópez
18
61 kgBrenes
22
66 kgArdila
26
59 kgOsorio
33
65 kgVélez
44
66 kgPrado
46
65 kgParra
55
51 kgRodas
63
68 kgArroyave
65
68 kgMendez
67
57 kgJurado
77
68 kgBustamante
80
65 kgDuarte
81
55 kgVargas
82
69 kg
1
76 kgSanchez
4
55 kgReyes
7
55 kgOsorio
8
62 kgMuñoz
9
57 kgGuamá
14
61 kgLópez
18
61 kgBrenes
22
66 kgArdila
26
59 kgOsorio
33
65 kgVélez
44
66 kgPrado
46
65 kgParra
55
51 kgRodas
63
68 kgArroyave
65
68 kgMendez
67
57 kgJurado
77
68 kgBustamante
80
65 kgDuarte
81
55 kgVargas
82
69 kg
Weight (KG) →
Result →
76
51
1
82
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCGEOUGH Cormac | 76 |
| 4 | SANCHEZ Mateo | 55 |
| 7 | REYES Aldemar | 55 |
| 8 | OSORIO Alejandro | 62 |
| 9 | MUÑOZ Daniel | 57 |
| 14 | GUAMÁ Byron | 61 |
| 18 | LÓPEZ Robinson Fabián | 61 |
| 22 | BRENES Sebastian | 66 |
| 26 | ARDILA Andrés Camilo | 59 |
| 33 | OSORIO Juan Felipe | 65 |
| 44 | VÉLEZ Cristian Damián | 66 |
| 46 | PRADO Ignacio de Jesús | 65 |
| 55 | PARRA Heiner Rodrigo | 51 |
| 63 | RODAS Manuel | 68 |
| 65 | ARROYAVE Daniel | 68 |
| 67 | MENDEZ Daniel Alejandro | 57 |
| 77 | JURADO Christofer Robín | 68 |
| 80 | BUSTAMANTE Adrián | 65 |
| 81 | DUARTE Fabio | 55 |
| 82 | VARGAS Walter | 69 |