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 = -2.4 * weight + 203
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHRISTIAN Mark | 72 |
| 3 | ROWE Luke | 72 |
| 7 | KRAUWEL Bas | 77 |
| 18 | ROWSELL Erick | 66 |
| 23 | FENN Andrew | 79 |
| 27 | THILL Tom | 73 |
| 29 | SCHWARZMANN Michael | 69 |
| 34 | JAUN Lukas | 66 |
| 41 | MANNAERTS Jelle | 73 |
| 55 | KRIEGER Alexander | 71 |
| 56 | DEMOITIÉ Antoine | 69 |
| 64 | SCHNAIDT Fabian | 70 |
| 76 | DERNIES Tom | 68 |