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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | URRUTY Maxime | 59 |
| 3 | DELACROIX Tristan | 59 |
| 4 | VAN EMPEL Etienne | 64 |
| 6 | JEGAT Jordan | 59 |
| 7 | THOMAS Benjamin | 68 |
| 8 | GRELLIER Fabien | 65 |
| 9 | KÜNG Stefan | 83 |
| 10 | CEPEDA Jefferson Alveiro | 61 |
| 11 | LAURANCE Axel | 63 |
| 12 | VAUQUELIN Kévin | 69 |
| 13 | VAN HOECKE Gijs | 78 |