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 = -0.8 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDENBROUCKE Frank | 67 |
| 2 | VINOKOUROV Alexandre | 68 |
| 3 | DIERCKXSENS Ludo | 71 |
| 4 | FONDRIEST Maurizio | 70 |
| 5 | CRETSKENS Wilfried | 75 |
| 6 | REBELLIN Davide | 63 |
| 8 | MARICHAL Thierry | 72 |
| 10 | STREEL Marc | 69 |
| 11 | DEMARBAIX Sébastien | 64 |
| 13 | PIZIKS Arvis | 70 |
| 15 | PLANCKAERT Jo | 70 |
| 16 | BOSSONI Paolo | 62 |
| 20 | DE WOLF Steve | 67 |
| 24 | SIJMENS Nico | 69 |
| 27 | DETILLOUX Christophe | 62 |