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 = 1.7 * weight - 104
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 2 | THALER Klaus-Peter | 60 |
| 4 | LASA Miguel María | 68 |
| 5 | TAMAMES Agustín | 66 |
| 11 | POLLENTIER Michel | 62 |
| 14 | VIEJO José Luis | 64 |
| 15 | LADRÓN Rafael | 74 |
| 23 | PRIEM Cees | 75 |
| 30 | DEN HERTOG Fedor | 76 |
| 31 | ELORRIAGA Javier Francisco | 85 |
| 40 | NEEL Mike | 79 |
| 55 | DEMEYER Marc | 85 |