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 = 2.2 * weight - 105
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BREUKINK Erik | 70 |
| 6 | DELGADO Pedro | 64 |
| 12 | WINNEN Peter | 60 |
| 16 | EARLEY Martin | 62 |
| 17 | KELLY Sean | 77 |
| 23 | SCHEPERS Eddy | 60 |
| 31 | MURGUIALDAY Javier | 58 |
| 40 | ARNTZ Marcel | 70 |
| 45 | MUJIKA Jokin | 73 |
| 49 | DOMÍNGUEZ Manuel Jorge | 67 |
| 65 | VILAMAJO Jaime | 70 |
| 82 | NAVARRO Francisco | 77 |
| 87 | VANDERAERDEN Eric | 74 |
| 88 | OVANDO Rolando | 66 |
| 95 | PRADO Vicente | 69 |