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 = 1 * weight - 53
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCARTY Jonathan Patrick | 68 |
| 2 | FOTHEN Markus | 71 |
| 5 | LEQUATRE Geoffroy | 64 |
| 6 | SPRICK Matthieu | 71 |
| 8 | PERGET Mathieu | 64 |
| 9 | BONNAIRE Olivier | 67 |
| 10 | BURGHARDT Marcus | 75 |
| 12 | NAIBO Carl | 62 |
| 13 | CLAUDE Mathieu | 69 |
| 14 | DEIGNAN Philip | 65 |
| 26 | GOESINNEN Floris | 75 |
| 32 | FEILLU Romain | 62 |
| 35 | SANCHEZ Fabien | 75 |
| 37 | MOL Wouter | 83 |
| 39 | PAURIOL Rémi | 68 |
| 46 | PASSERON Aurélien | 73 |