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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOLDSTEIN Edo | 61 |
| 2 | DE DECKER Tijl | 73 |
| 4 | DENS Tuur | 81 |
| 5 | VAN DEN BOSSCHE Fabio | 63 |
| 7 | LAURANCE Axel | 63 |
| 8 | HUYS Branko | 77 |
| 9 | VAN GRIEKEN Jarne | 71 |
| 10 | LÜHRS Leslie | 83 |