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 = -0.9 * weight + 85
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CORNELISSE Mitchell | 73.5 |
| 4 | MÜLLER Patrick | 74 |
| 5 | OIEN Justin | 68 |
| 6 | LISSON Christoffer | 73 |
| 8 | RAHBEK Mads | 66 |
| 9 | RÜEGG Lukas | 66 |
| 11 | GREGAARD Jonas | 66 |
| 20 | KRIGBAUM Mathias | 79 |
| 21 | SCHULTZ Jesper | 60 |
| 33 | VINCENT Léo | 62 |
| 49 | BANZER Gordian | 56 |
| 79 | DEBENEDETTI Davide | 56 |
| 88 | VAN DEN BERG Julius | 78 |