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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIJDAM Jelle | 70 |
| 6 | DEN BAKKER Maarten | 71 |
| 7 | VAN DER POEL Adrie | 70 |
| 8 | KNAVEN Servais | 68 |
| 12 | BLIJLEVENS Jeroen | 70 |
| 14 | CORVERS Frank | 77 |
| 15 | BÄCKSTEDT Magnus | 94 |
| 17 | DE CLERCQ Mario | 66 |