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 = -0.8 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | AUGER Ludovic | 78 |
| 6 | BARTHE Stéphane | 65 |
| 7 | AUGÉ Stéphane | 65 |
| 9 | SIMON François | 70 |
| 10 | PERQUE Franck | 78 |
| 11 | CAPELLE Christophe | 73 |
| 12 | LELAY David | 67 |
| 13 | VALENTIN Tristan | 69 |
| 20 | GABRIEL Frédéric | 60 |
| 29 | VOGONDY Nicolas | 62 |
| 30 | SANCHEZ Fabien | 75 |
| 33 | ROBIN Jean-Cyril | 63 |
| 38 | VAUGRENARD Benoît | 72 |
| 43 | MÉDEREL Maxime | 59 |