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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 2 | DEMEYER Marc | 85 |
| 5 | THALER Klaus-Peter | 60 |
| 7 | ELORRIAGA Javier Francisco | 85 |
| 10 | VIEJO José Luis | 64 |
| 13 | LASA Miguel María | 68 |
| 19 | POLLENTIER Michel | 62 |
| 24 | LADRÓN Rafael | 74 |
| 27 | DEN HERTOG Fedor | 76 |
| 30 | TAMAMES Agustín | 66 |