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 = 7.1 * weight - 401
This means that on average for every extra kilogram weight a rider loses 7.1 positions in the result.
Osorio
2
62 kgPira
3
59 kgLópez
4
61 kgLopez
6
56 kgCastillo
7
72 kgJurado
8
68 kgCalderón
9
76 kgMuñoz
11
63 kgMcGeough
13
76 kgRojas
15
64 kgContreras
16
68 kgOsorio
20
65 kgGarzón
22
60 kgGuamá
28
61 kgRestrepo
30
73 kgAlba
32
59 kgSuaza
37
66 kgBrenes
38
66 kgPrado
43
65 kgAvila
991
70 kg
2
62 kgPira
3
59 kgLópez
4
61 kgLopez
6
56 kgCastillo
7
72 kgJurado
8
68 kgCalderón
9
76 kgMuñoz
11
63 kgMcGeough
13
76 kgRojas
15
64 kgContreras
16
68 kgOsorio
20
65 kgGarzón
22
60 kgGuamá
28
61 kgRestrepo
30
73 kgAlba
32
59 kgSuaza
37
66 kgBrenes
38
66 kgPrado
43
65 kgAvila
991
70 kg
Weight (KG) →
Result →
76
56
2
991
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OSORIO Alejandro | 62 |
| 3 | PIRA Yesid Albeiro | 59 |
| 4 | LÓPEZ Robinson Fabián | 61 |
| 6 | LOPEZ Juan Carlos | 56 |
| 7 | CASTILLO Ulises Alfredo | 72 |
| 8 | JURADO Christofer Robín | 68 |
| 9 | CALDERÓN Sebastian | 76 |
| 11 | MUÑOZ Cristian Camilo | 63 |
| 13 | MCGEOUGH Cormac | 76 |
| 15 | ROJAS Brandon Alejandro | 64 |
| 16 | CONTRERAS Rodrigo | 68 |
| 20 | OSORIO Juan Felipe | 65 |
| 22 | GARZÓN Óscar Santiago | 60 |
| 28 | GUAMÁ Byron | 61 |
| 30 | RESTREPO Jhonatan | 73 |
| 32 | ALBA Juan Diego | 59 |
| 37 | SUAZA Bernardo | 66 |
| 38 | BRENES Sebastian | 66 |
| 43 | PRADO Ignacio de Jesús | 65 |
| 991 | AVILA Freddy Alejandro | 70 |