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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONTADOR Alberto | 61 |
| 2 | SÁNCHEZ Luis León | 73 |
| 3 | SCHLECK Andy | 68 |
| 4 | KREUZIGER Roman | 65 |
| 5 | MONFORT Maxime | 66 |
| 6 | VAN DEN BROECK Jurgen | 69 |
| 7 | DEL NERO Jesús | 73 |
| 8 | BURGHARDT Marcus | 75 |
| 9 | KOHL Bernhard | 61 |
| 10 | MOINARD Amaël | 69 |
| 11 | GILBERT Philippe | 75 |
| 12 | PAURIOL Rémi | 68 |
| 13 | RUSS Matthias | 62 |
| 14 | PÉREZ Alan | 66 |
| 15 | LADAGNOUS Matthieu | 73 |
| 16 | FOTHEN Thomas | 71 |