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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SALAMIN Antoine | 72 |
| 3 | DIJKMAN Daan | 55 |
| 5 | BOUCHER Hugo | 67 |
| 5 | MARTINET Valentin | 66 |
| 5 | VASSAL Théophile | 65 |
| 7 | GOOLD Max | 59 |
| 9 | DE GENDT Leander | 51 |
| 12 | HERNANDEZ Jan | 54 |
| 13 | MITORAJ Igor | 63 |
| 14 | LARSEN Alexander Nørskov | 65 |
| 17 | JORDAN Ayden | 61 |