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 = -0.1 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEVILLA Óscar | 62 |
| 3 | DEL NEGRO Agustin | 64 |
| 4 | LÓPEZ Miguel Ángel | 59 |
| 6 | REYES Aldemar | 55 |
| 7 | PAREDES Wilmar | 66 |
| 9 | BOSCARO Davide | 77 |
| 10 | DECAR Jacob Thomas | 60 |
| 14 | JURADO Christofer Robín | 68 |
| 15 | LIRA Manuel | 79 |
| 16 | RODRÍGUEZ Jhon Anderson | 62 |
| 19 | VERHOEFF Stefan | 76 |
| 25 | CHALAPUD Robinson | 63 |
| 31 | ALBA Juan Diego | 59 |
| 50 | GUAMÁ Byron | 61 |
| 76 | DONEGÀ Matteo | 65 |