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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STÜSSI Colin | 68 |
| 2 | MEILER Lukas | 65 |
| 3 | HENNEBERG Magnus | 67 |
| 4 | RYBA Jan | 70 |
| 5 | REKITA Szymon | 70 |
| 7 | KUZMIN Anton | 66 |
| 8 | OTRUBA Jakub | 75 |
| 9 | GRABIS Mateusz | 75 |
| 12 | SLOCK Liam | 78 |
| 13 | GATHEMANN Albert | 62 |
| 14 | VAN BOVEN Luca | 68 |
| 15 | WALLIN Rasmus Bøgh | 78 |
| 18 | DEBRUYNE Ramses | 66 |
| 19 | ZAHÁLKA Matěj | 73 |
| 20 | GUERIN Alexis | 64 |
| 21 | SCHLEGEL Michal | 72 |