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 = -1.9 * weight + 145
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEELS Tom | 73 |
| 2 | KOERTS Jans | 78 |
| 4 | PLANCKAERT Jo | 70 |
| 7 | DIERCKXSENS Ludo | 71 |
| 10 | VAN BONDT Geert | 71 |
| 12 | DE WILDE Etienne | 70 |
| 13 | PANKOV Oleg | 72 |
| 16 | POSPYEYEV Kyrylo | 71 |
| 18 | VANDENBROUCKE Frank | 67 |
| 22 | MUSEEUW Johan | 71 |
| 23 | NIJDAM Jelle | 70 |
| 24 | BAGUET Serge | 67 |