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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROVES Kaden | 76 |
| 2 | KUMP Marko | 68 |
| 3 | SISR František | 72 |
| 4 | HENNESSY Jacob | 80 |
| 6 | MERTENS Julian | 67 |
| 8 | ORRICO Davide | 70 |
| 11 | PATERSKI Maciej | 73 |
| 13 | GATE Aaron | 71 |
| 14 | LEKNESSUND Andreas | 72 |
| 15 | SHUMOV Nikolai | 65 |
| 16 | VEYHE Torkil | 77 |