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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUGLAS Georgios | 71 |
| 2 | ÖZGÜR Batuhan | 75 |
| 3 | BALKAN Onur | 69 |
| 4 | JONES Brenton | 81 |
| 6 | PACIONI Luca | 67 |
| 7 | LOOIJ André | 75 |
| 8 | HENNESSY Jacob | 80 |
| 9 | RAJOVIĆ Dušan | 74 |
| 10 | PAPOK Siarhei | 76 |
| 11 | GROSU Eduard-Michael | 68 |
| 15 | OKUBAMARIAM Tesfom | 60 |
| 16 | SESSLER Nícolas | 58 |
| 17 | STÖHR Ján | 72 |
| 18 | LIZDE Seid | 70 |