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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOCKELMANN Mathieu | 70 |
| 3 | MORGADO António | 71 |
| 4 | BELLETTA Dario Igor | 73 |
| 5 | VAN MECHELEN Vlad | 78 |
| 6 | HERZOG Emil | 74 |
| 7 | SIVOK Tomáš | 53 |
| 8 | ISIDORE Noa | 67 |
| 9 | PAJUR Romet | 78 |
| 13 | RAGILO Frank Aron | 70 |
| 14 | GRUEL Thibaud | 70 |
| 15 | DOCKX Aaron | 56 |