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 = -2.3 * weight + 181
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAGE Hugo | 71 |
| 2 | NAVARRO Gauthier | 60 |
| 4 | KROONEN Max | 79 |
| 6 | GRONDIN Donavan | 77 |
| 8 | BARRÉ Louis | 68 |
| 10 | PLUSQUELLEC Yann | 66 |
| 14 | BAAK Jord | 73 |
| 15 | JOLLY Maxime | 70 |
| 19 | SZÉKELY Nathan | 75 |
| 30 | MAINGUENAUD Tom | 63 |
| 42 | BONNET Theo | 63 |
| 51 | RETAILLEAU Valentin | 64 |
| 54 | FONTAINE Emerson | 66 |
| 81 | ZWAAN Wouter | 57 |