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 = -10.2 * weight + 1461
This means that on average for every extra kilogram weight a rider loses -10.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | JALABERT Laurent | 66 |
4 | SIMON François | 70 |
990 | MEJIA Alvaro | 63 |
990 | MAURI Melchor | 68 |
990 | GARMENDIA Aitor | 68 |
990 | DURAND Jacky | 76 |
990 | VIRENQUE Richard | 65 |
990 | ROBIN Jean-Cyril | 63 |
990 | BAGUET Serge | 67 |