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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAURI Melchor | 68 |
| 2 | YATES Sean | 74 |
| 2 | WALTON Brian | 68 |
| 3 | SERGEANT Marc | 76 |
| 6 | INDURÁIN Miguel | 76 |
| 6 | MUJIKA Jokin | 73 |
| 6 | GARMENDIA Aitor | 68 |
| 7 | MURGUIALDAY Javier | 58 |
| 8 | ESCARTÍN Fernando | 61 |
| 9 | TOLHOEK Patrick | 63 |
| 9 | CORDES Tom | 70 |
| 9 | WINNEN Peter | 60 |