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 = -1.6 * weight + 131
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DERNIES Michel | 75 |
| 2 | SØRENSEN Rolf | 70 |
| 11 | BAUER Steve | 72 |
| 12 | SERGEANT Marc | 76 |
| 14 | BREUKINK Erik | 70 |
| 19 | LILHOLT Søren | 72 |
| 21 | FONDRIEST Maurizio | 70 |
| 26 | DE WOLF Fons | 75 |
| 38 | GIANETTI Mauro | 62 |