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 = -0.6 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GREGAARD Jonas | 66 |
| 3 | LISSON Christoffer | 73 |
| 5 | VINCENT Léo | 62 |
| 10 | RAHBEK Mads | 66 |
| 11 | SCHULTZ Jesper | 60 |
| 13 | MÜLLER Patrick | 74 |
| 17 | OIEN Justin | 68 |
| 36 | VAN DEN BERG Julius | 78 |
| 37 | BANZER Gordian | 56 |
| 49 | DEBENEDETTI Davide | 56 |
| 78 | RÜEGG Lukas | 66 |