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 = -1.2 * weight + 98
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 63 |
| 2 | GRONDIN Donavan | 77 |
| 4 | VAUQUELIN Kévin | 69 |
| 5 | VANDEPITTE Nathan | 80 |
| 6 | TOUMIRE Hugo | 69 |
| 8 | CHARRIN Aloïs | 67 |
| 10 | PAGE Hugo | 71 |
| 14 | ROESEMS Siebe | 70 |
| 15 | LAURANCE Axel | 63 |
| 19 | BAUDIN Alex | 64 |
| 22 | RETAILLEAU Valentin | 64 |
| 25 | LAPEIRA Paul | 64 |
| 35 | COQUERET Louis | 69 |
| 38 | RODRIGUES Vinicio | 59 |
| 39 | CAIXAS Rodrigo | 66 |