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 - 3
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Brenes
1
66 kgJurado
3
68 kgOsorio
5
62 kgReyes
7
55 kgMuñoz
18
57 kgLópez
22
61 kgArroyave
24
68 kgDuarte
29
55 kgParra
30
51 kgMcGeough
39
76 kgGuamá
43
61 kgVargas
44
69 kgArdila
45
59 kgOsorio
55
65 kgPrado
66
65 kgRodas
67
68 kgSanchez
68
55 kgVélez
80
66 kgBustamante
81
65 kg
1
66 kgJurado
3
68 kgOsorio
5
62 kgReyes
7
55 kgMuñoz
18
57 kgLópez
22
61 kgArroyave
24
68 kgDuarte
29
55 kgParra
30
51 kgMcGeough
39
76 kgGuamá
43
61 kgVargas
44
69 kgArdila
45
59 kgOsorio
55
65 kgPrado
66
65 kgRodas
67
68 kgSanchez
68
55 kgVélez
80
66 kgBustamante
81
65 kg
Weight (KG) →
Result →
76
51
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENES Sebastian | 66 |
| 3 | JURADO Christofer Robín | 68 |
| 5 | OSORIO Alejandro | 62 |
| 7 | REYES Aldemar | 55 |
| 18 | MUÑOZ Daniel | 57 |
| 22 | LÓPEZ Robinson Fabián | 61 |
| 24 | ARROYAVE Daniel | 68 |
| 29 | DUARTE Fabio | 55 |
| 30 | PARRA Heiner Rodrigo | 51 |
| 39 | MCGEOUGH Cormac | 76 |
| 43 | GUAMÁ Byron | 61 |
| 44 | VARGAS Walter | 69 |
| 45 | ARDILA Andrés Camilo | 59 |
| 55 | OSORIO Juan Felipe | 65 |
| 66 | PRADO Ignacio de Jesús | 65 |
| 67 | RODAS Manuel | 68 |
| 68 | SANCHEZ Mateo | 55 |
| 80 | VÉLEZ Cristian Damián | 66 |
| 81 | BUSTAMANTE Adrián | 65 |