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 = 1.4 * weight - 75
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHRISTIAN Mark | 72 |
| 3 | ROWSELL Erick | 66 |
| 4 | SCHNAIDT Fabian | 70 |
| 8 | MANNAERTS Jelle | 73 |
| 9 | ROWE Luke | 72 |
| 11 | DEMOITIÉ Antoine | 69 |
| 14 | JAUN Lukas | 66 |
| 17 | KRAUWEL Bas | 77 |
| 27 | FENN Andrew | 79 |
| 28 | KRIEGER Alexander | 71 |
| 29 | THILL Tom | 73 |
| 61 | DERNIES Tom | 68 |
| 62 | SCHWARZMANN Michael | 69 |
| 97 | LUDVIGSSON Tobias | 76 |