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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TCHMIL Andrei | 75 |
| 5 | TURPIN Ludovic | 57 |
| 6 | BOOGERD Michael | 62 |
| 7 | ZANETTE Denis | 82 |
| 8 | KONYSHEV Dmitry | 77 |
| 11 | GUIDI Fabrizio | 73 |
| 12 | DEN BAKKER Maarten | 71 |
| 13 | CODOL Massimo | 67 |
| 14 | PICCOLI Mariano | 64 |
| 15 | BAGUET Serge | 67 |
| 18 | FARAZIJN Peter | 69 |
| 19 | PEERS Chris | 73 |
| 21 | DEMARBAIX Sébastien | 64 |