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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARY Maryan | 68 |
| 2 | CHAVANEL Sylvain | 73 |
| 3 | DELAGE Mickaël | 70 |
| 4 | DURET Sébastien | 62 |
| 5 | ARASHIRO Yukiya | 64 |
| 6 | JALABERT Nicolas | 68 |
| 7 | LELAY David | 67 |
| 8 | LEVARLET Guillaume | 67 |
| 9 | VILLA Romain | 71 |
| 10 | DELPECH Jean-Luc | 72 |
| 11 | USOV Alexandre | 63 |
| 12 | FOFONOV Dmitriy | 65 |
| 13 | ROJAS José Joaquín | 70 |
| 14 | MOREAU Christophe | 71 |
| 15 | PERGET Mathieu | 64 |