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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALLIN Rasmus Bøgh | 78 |
| 2 | ZIJLAARD Maikel | 73 |
| 3 | ALBANESE Vincenzo | 70 |
| 4 | FETTER Erik | 70 |
| 5 | MARSMAN Tim | 75 |
| 6 | VAN EETVELT Lennert | 63 |
| 7 | FLYNN Sean | 67 |
| 8 | HAEST Jasper | 70 |
| 9 | VAN DER MEER Nick | 82 |
| 11 | ŤOUPALÍK Adam | 65 |
| 12 | VAN SINTMAARTENSDIJK Roel | 77 |
| 13 | OTTEMA Rick | 77 |
| 14 | VOISARD Yannis | 56 |
| 15 | ŘEHA Filip | 72 |