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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN AERT Wout | 78 |
| 2 | CAMPENAERTS Victor | 68 |
| 3 | FRISON Frederik | 84 |
| 4 | DE GENDT Thomas | 73 |
| 5 | VERMEERSCH Florian | 81 |
| 6 | SEYE Guillaume | 77 |
| 7 | LEYSEN Senne | 78 |
| 8 | DE WILDE Gilles | 75 |
| 9 | DE PLUS Jasper | 69 |
| 10 | VAN DEN BOSSCHE Fabio | 63 |
| 11 | RICKAERT Jonas | 88 |
| 12 | MEURISSE Xandro | 71 |
| 13 | WEEMAES Sasha | 73 |