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 = 0.5 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENN Luca | 64 |
| 2 | PER Gorazd | 68 |
| 3 | PĘKALA Piotr | 65 |
| 4 | RÜEGG Lukas | 66 |
| 6 | JARC Aljaž | 75 |
| 11 | JAGIELA Adam | 64 |
| 12 | ŠTIBINGR Matěj | 62 |
| 13 | WOJTANEK Bartlomiej | 61 |
| 14 | TSOY Vladimir | 73 |
| 16 | MURIAS Jakub | 65 |
| 19 | KUZMIN Anton | 66 |
| 20 | LAŠINIS Venantas | 69 |
| 24 | SAJNOK Szymon | 75 |
| 25 | SZÓSTKA Paweł | 63 |
| 30 | DÖRRIE Marc | 65 |
| 32 | RAJOVIĆ Dušan | 74 |