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 = -0.5 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RASMUSSEN Alex | 88 |
| 2 | CAVENDISH Mark | 70 |
| 4 | COPPEL Jérôme | 64 |
| 7 | MAES Nikolas | 78 |
| 9 | ROLLAND Pierre | 70 |
| 10 | CLANCY Edward | 79 |
| 16 | ROELANDTS Jürgen | 78 |
| 18 | PINEAU Cédric | 68 |
| 20 | OFFREDO Yoann | 69 |
| 21 | JEANDESBOZ Fabrice | 69 |
| 24 | CAPELLI Ermano | 78 |
| 26 | REIMER Martin | 69 |
| 32 | DE KETELE Kenny | 66 |
| 42 | DE POORTERE Ingmar | 70 |
| 43 | SCHETS Steve | 74 |
| 46 | POULHIÈS Stéphane | 75 |