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 = 20.9 * weight - 565
This means that on average for every extra kilogram weight a rider loses 20.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | TOLHOEK Patrick | 63 |
| 990 | DEMOL Dirk | 72 |
| 990 | HOLM SØRENSEN Brian | 77 |
| 990 | SKIBBY Jesper | 70 |
| 990 | ELLIOTT Malcolm | 76 |
| 990 | MURGUIALDAY Javier | 58 |
| 990 | MUJIKA Jokin | 73 |
| 990 | BARONCHELLI Gianbattista | 72 |
| 990 | PRADO Vicente | 69 |
| 990 | OVANDO Rolando | 66 |