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 = 34.3 * weight - 1782
This means that on average for every extra kilogram weight a rider loses 34.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROLLAND Pierre | 70 |
| 2 | GUESDON Frédéric | 73 |
| 4 | MARINO Jean-Marc | 65 |
| 5 | VEIKKANEN Jussi | 66 |
| 7 | EL FARES Julien | 62 |
| 990 | GÉRARD Arnaud | 70 |
| 990 | JÉGOU Lilian | 71 |
| 990 | MENGIN Christophe | 68 |
| 990 | LAHSAINI Mouhssine | 77 |
| 990 | HINAULT Sébastien | 63 |
| 990 | KERN Christophe | 72 |
| 990 | ENGOULVENT Jimmy | 82 |
| 990 | PAURIOL Rémi | 68 |