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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HONDO Danilo | 73 |
| 2 | FREIRE Óscar | 63 |
| 3 | TAFI Andrea | 73 |
| 4 | KONYSHEV Dmitry | 77 |
| 5 | TESSIER Jean-Michel | 70 |
| 6 | BERTOLINI Alessandro | 63 |
| 7 | HUNDERTMARCK Kai | 72 |
| 8 | TORRENT Carlos | 71 |
| 9 | CASERO Rafael | 74 |
| 10 | DETILLOUX Christophe | 62 |
| 11 | HINCAPIE George | 83 |
| 12 | VALVERDE Alejandro | 61 |
| 13 | DIERCKXSENS Ludo | 71 |
| 14 | NIETO Germán | 68 |
| 15 | BALDATO Fabio | 60 |