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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOEKS Daan | 68 |
| 2 | MIHOLJEVIĆ Fran | 72 |
| 3 | MACIEJUK Filip | 78 |
| 6 | GÖTZINGER Valentin | 71 |
| 8 | RASENBERG Martijn | 78 |
| 10 | GAMPER Mario | 72 |
| 11 | VAN GESTEL Luuk | 64 |
| 13 | KRIJNSEN Jelte | 73 |
| 18 | PAPIERSKI Damian | 81 |
| 20 | DE CASSAN Davide | 61 |
| 21 | MALMBERG Matias | 68 |
| 22 | MARBLER Stefan | 75 |
| 25 | KRUKOWSKI Aleksander | 69 |