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 = 2.6 * weight + 707
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGUET Serge | 67 |
| 990 | MEJIA Alvaro | 63 |
| 990 | MAURI Melchor | 68 |
| 990 | SIMON François | 70 |
| 990 | JALABERT Laurent | 66 |
| 990 | GARMENDIA Aitor | 68 |
| 990 | DURAND Jacky | 76 |
| 990 | VIRENQUE Richard | 65 |
| 990 | ROBIN Jean-Cyril | 63 |