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 = 2.1 * weight - 104
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FLÓREZ Miguel Eduardo | 57 |
| 2 | AULAR Orluis | 65 |
| 5 | MONSALVE Yonathan | 62 |
| 16 | PEDRAZA Wálter Fernando | 58 |
| 17 | LAVERDE Luis Felipe | 63 |
| 21 | GODOY Yonder | 64 |
| 25 | SERPA José Rodolfo | 64 |
| 27 | MUÑOZ Daniel | 57 |
| 34 | RODRÍGUEZ Jackson | 58 |
| 48 | VIEL Mattia | 72 |
| 50 | QUINTERO Leonel | 67 |
| 56 | GUAMÁ Byron | 61 |
| 71 | CASTAÑO Erick | 66 |