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 = -1.3 * weight + 99
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Miguel Ángel | 59 |
| 5 | MUÑOZ Cristian Camilo | 63 |
| 6 | GUAMÁ Byron | 61 |
| 7 | SOTO Nelson Andrés | 66 |
| 9 | MENDEZ Daniel Alejandro | 57 |
| 11 | CONTRERAS Rodrigo | 68 |
| 12 | MUÑOZ Daniel | 57 |
| 18 | FLÓREZ Miguel Eduardo | 57 |
| 22 | SEVILLA Óscar | 62 |
| 32 | RUIZ Jeferson Armando | 57 |
| 39 | RESTREPO Juan Pablo | 58 |
| 40 | PEDRAZA Wálter Fernando | 58 |
| 41 | PANTANO Jarlinson | 61 |