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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAAS Martin | 76 |
| 2 | MARENGO Umberto | 69 |
| 3 | RAILEANU Cristian | 63 |
| 4 | LEPLINGARD Antoine | 68 |
| 9 | HOLLER Nikodemus | 58 |
| 10 | BOUGLAS Georgios | 71 |
| 11 | MEIJERS Jeroen | 68 |
| 12 | PACIONI Luca | 67 |
| 13 | CARSTENSEN Lucas | 69 |
| 16 | CULEY Marcus | 69 |