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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ISIDORE Noa | 67 |
| 3 | DECOMBLE Maxime | 62 |
| 4 | TAPIZ Hugo | 61 |
| 5 | HERZOG Emil | 74 |
| 6 | GOLLIKER Joshua | 67 |
| 9 | PAJUR Romet | 78 |
| 10 | DOCKX Aaron | 56 |
| 11 | MAGNIER Paul | 70 |
| 13 | RAGILO Frank Aron | 70 |
| 15 | KULSET Johannes | 58 |
| 16 | CHRISTEN Jan | 60 |
| 18 | GIULIANO Dario | 63 |
| 19 | BREANT Romain | 62 |
| 20 | BISIAUX Léo | 58 |