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 = -0.5 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAHBEK Mads | 66 |
| 2 | MAAS Jan | 70 |
| 4 | LEVASSEUR Jordan | 74 |
| 5 | BÁRTA Jan | 75 |
| 6 | HECHT Gage | 72 |
| 8 | NYBORG BROGE Nils Lau | 75 |
| 9 | HUENS Rémi | 74 |
| 10 | RAUGEL Antoine | 70 |
| 11 | VAN NIEKERK Morné | 64 |
| 12 | MEILER Lukas | 65 |
| 14 | TUREK Daniel | 72 |
| 15 | KOWALSKI Dylan | 67 |
| 16 | URIANSTAD BUGGE Martin | 61 |