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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUFAUX Laurent | 60 |
| 2 | SIMON François | 70 |
| 3 | VOSKAMP Bart | 75 |
| 4 | TOTSCHNIG Georg | 62 |
| 5 | ELLI Alberto | 71 |
| 6 | KASPUTIS Artūras | 83 |
| 7 | PLAZA David | 68 |
| 8 | DURAND Jacky | 76 |
| 9 | VAN BON Léon | 72 |
| 10 | HINCAPIE George | 83 |
| 11 | IVANOV Sergei | 73 |
| 13 | AEBERSOLD Niki | 58 |
| 14 | VASSEUR Cédric | 70 |
| 16 | SERPELLINI Marco | 75 |
| 17 | LAFIS Michel | 78 |
| 19 | ANDERSSON Michael | 71 |
| 20 | VAN HYFTE Paul | 70 |