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 = 0.3 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PETER Jannis | 63 |
| 5 | BUSATTO Francesco | 62 |
| 6 | FRANCO Alejandro | 58 |
| 9 | GONÇALVES Hélder | 55 |
| 10 | VAN EETVELT Lennert | 63 |
| 11 | VACEK Mathias | 75 |
| 12 | PORTER Rudy | 66 |
| 13 | CLYNHENS Toon | 61 |
| 14 | DEL TORO Isaac | 64 |
| 15 | LECERF Junior | 54 |
| 16 | FAURA José Luis | 67 |
| 17 | BITTNER Pavel | 73 |
| 19 | ŘEPA Vojtěch | 71 |
| 20 | DE POOTER Dries | 66 |
| 22 | ŘEHA Filip | 72 |
| 23 | DE CASSAN Davide | 61 |
| 24 | RETEGI Mikel | 64 |