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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN POPPEL Danny | 82 |
| 3 | GROENEWEGEN Dylan | 70 |
| 4 | MOLANO Juan Sebastián | 72 |
| 6 | BRUSTENGA Marc | 80 |
| 7 | COVI Alessandro | 66 |
| 8 | HESTERS Jules | 72 |
| 9 | LÓPEZ Harold Martín | 55 |
| 10 | PELIKÁN János | 76 |