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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STÜSSI Colin | 68 |
| 2 | RYBA Jan | 70 |
| 3 | HENNEBERG Magnus | 67 |
| 4 | MEILER Lukas | 65 |
| 5 | OTRUBA Jakub | 75 |
| 8 | KUZMIN Anton | 66 |
| 9 | SLOCK Liam | 74 |
| 10 | GATHEMANN Albert | 62 |
| 11 | VAN BOVEN Luca | 68 |
| 12 | DEBRUYNE Ramses | 66 |
| 13 | WALLIN Rasmus Bøgh | 78 |
| 16 | GUERIN Alexis | 65 |
| 17 | SCHLEGEL Michal | 72 |