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 = -57 * weight + 4553
This means that on average for every extra kilogram weight a rider loses -57 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN HEESWIJK Max | 73 |
| 3 | SIMON François | 70 |
| 4 | VAN PETEGEM Peter | 70 |
| 5 | WESEMANN Steffen | 72 |
| 990 | MADOUAS Laurent | 70 |
| 990 | MARIE Thierry | 68 |
| 990 | MEIER Roland | 60 |
| 990 | DUFAUX Laurent | 60 |
| 990 | VIRENQUE Richard | 65 |
| 990 | ROBIN Jean-Cyril | 63 |
| 990 | HEPPNER Jens | 69 |
| 990 | VEENSTRA Wiebren | 70 |
| 990 | BOURGUIGNON Thierry | 72 |