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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOFFMAN Tristan | 80 |
| 2 | VAN BON Léon | 72 |
| 3 | RODRIGUES Orlando Sergio | 68 |
| 8 | STENERSEN Bjørn | 70 |
| 9 | BROCHARD Laurent | 68 |
| 11 | SIMON François | 70 |
| 13 | AUG Andrus | 83 |
| 14 | CAPELLE Christophe | 73 |
| 19 | DE CLERCQ Hans | 80 |
| 22 | ROUS Didier | 70 |
| 25 | PEERS Chris | 73 |
| 28 | STENERSEN Karsten | 70 |
| 29 | KOSHELENKO Pyotr | 72 |
| 30 | GUESDON Frédéric | 73 |