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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERZOG Emil | 74 |
| 3 | PLACE Maxence | 58 |
| 5 | VAN MECHELEN Vlad | 78 |
| 8 | ISIDORE Noa | 67 |
| 11 | KOCKELMANN Mathieu | 70 |
| 13 | KULSET Johannes | 58 |
| 15 | HANNES Victor | 62 |
| 16 | DE MEIJTS Matis | 71 |
| 21 | MÜLLER Tobias | 64 |
| 22 | TELECKÝ Štěpán | 73 |