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 = 0.7 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KRAUWEL Bas | 77 |
| 5 | CHRISTIAN Mark | 72 |
| 7 | MANNAERTS Jelle | 73 |
| 8 | SCHNAIDT Fabian | 70 |
| 16 | SCHWARZMANN Michael | 69 |
| 20 | JAUN Lukas | 66 |
| 25 | DEMOITIÉ Antoine | 69 |
| 32 | ROWE Luke | 72 |
| 39 | ROWSELL Erick | 66 |
| 53 | KRIEGER Alexander | 71 |
| 63 | THILL Tom | 73 |
| 73 | DERNIES Tom | 68 |
| 75 | FENN Andrew | 79 |