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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUNISSEN Mike | 73 |
| 3 | VAN DER POEL Mathieu | 75 |
| 4 | MEIJERS Jeroen | 68 |
| 5 | SÉNÉCHAL Florian | 77 |
| 8 | VAN EMPEL Etienne | 64 |
| 9 | SCHOONBROODT Bob | 78 |
| 16 | ANTONINI Simone | 75 |
| 19 | VAN DER POEL David | 75 |
| 23 | LOOIJ André | 75 |
| 27 | ARISTI Mikel | 72 |
| 28 | YSSAAD Yannis | 69 |