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 = -1.1 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAUQUELIN Kévin | 69 |
| 3 | GRONDIN Donavan | 77 |
| 4 | PAGE Hugo | 71 |
| 6 | TOUMIRE Hugo | 69 |
| 8 | CHARRIN Aloïs | 67 |
| 10 | VANDEPITTE Nathan | 80 |
| 12 | COQUERET Louis | 69 |
| 13 | LAURANCE Axel | 63 |
| 15 | BAUDIN Alex | 64 |
| 24 | BARRÉ Louis | 68 |
| 29 | BENECH Pierre | 65 |
| 30 | MAINGUENAUD Tom | 63 |
| 33 | PLUSQUELLEC Yann | 66 |