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 - 12
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOSCARO Davide | 77 |
| 9 | DECAR Jacob Thomas | 60 |
| 10 | PAREDES Wilmar | 66 |
| 16 | LIRA Manuel | 79 |
| 17 | REYES Aldemar | 55 |
| 18 | SEVILLA Óscar | 62 |
| 21 | DEL NEGRO Agustin | 64 |
| 25 | RODRÍGUEZ Jhon Anderson | 62 |
| 26 | LÓPEZ Miguel Ángel | 59 |
| 26 | GUAMÁ Byron | 61 |
| 29 | ALBA Juan Diego | 59 |
| 56 | DONEGÀ Matteo | 65 |
| 61 | CHALAPUD Robinson | 63 |
| 74 | JURADO Christofer Robín | 68 |
| 87 | VERHOEFF Stefan | 76 |