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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DENS Tuur | 81 |
| 2 | COLMAN Alex | 73 |
| 3 | DESAL Ceriel | 76 |
| 4 | MOLLY Kenny | 61 |
| 6 | CÔTÉ Pier-André | 74 |
| 7 | SOUPE Geoffrey | 70 |
| 9 | LE GAC Olivier | 70 |
| 10 | LE BERRE Mathis | 68 |
| 11 | BODNAR Maciej | 77 |