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 = -0.8 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARDIQUEST Louis | 72 |
| 2 | DICTUS Frans | 74 |
| 3 | VAN SLEMBROUCK Gustave | 82 |
| 4 | GIJSSELS Romain | 75 |
| 5 | MAES Sylvère | 70 |
| 9 | ROOSEMONT Leopold | 80 |
| 12 | VERVAECKE Félicien | 68 |
| 13 | WAUTERS Jean | 72 |
| 15 | DE CORTE Raymond | 75 |
| 28 | MAES Romain | 68 |