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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SABIDO Hugo | 70 |
| 2 | WEGMANN Fabian | 60 |
| 3 | SCHMITZ Bram | 77 |
| 4 | VAN BON Léon | 72 |
| 5 | RUBIERA José Luis | 69 |
| 6 | VEIKKANEN Jussi | 66 |
| 8 | VAN DE WALLE Jurgen | 74 |
| 9 | PIRES Bruno | 63 |
| 11 | MACHADO Tiago | 63 |