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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ERIKSSON Lucas | 64 |
| 2 | HEINSCHKE Leon | 70 |
| 3 | BAX Sjoerd | 78 |
| 4 | ZAHÁLKA Matěj | 73 |
| 5 | TRONCHON Bastien | 72 |
| 6 | OTRUBA Jakub | 75 |
| 7 | VAN BOVEN Luca | 68 |
| 8 | ŤOUPALÍK Adam | 65 |
| 9 | HAYTER Leo | 66 |
| 10 | HUYS Laurens | 61 |
| 13 | BÁRTA Jan | 75 |