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 = 0.1 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORTJENS Ryan | 76 |
| 2 | SCOTT Jared | 66 |
| 3 | WILLEMS Jago | 64 |
| 4 | DEBRUYNE Ramses | 66 |
| 7 | TULETT Ben | 56 |
| 10 | GELDERS Gil | 66 |
| 11 | VAN EETVELT Lennert | 63 |
| 12 | DE POOTER Dries | 66 |
| 13 | THOMAS Théo | 61 |
| 15 | PAULUS Milan | 62 |
| 17 | HUYS Branko | 77 |
| 19 | TRONCHON Bastien | 72 |
| 20 | LAURANCE Axel | 66 |