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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOIGT Jens | 76 |
| 2 | VAN HYFTE Paul | 70 |
| 3 | JAKSCHE Jörg | 69 |
| 4 | BETTINI Paolo | 58 |
| 5 | JALABERT Laurent | 66 |
| 7 | ETXEBARRIA David | 55 |
| 8 | HAMBURGER Bo | 58 |
| 10 | VERHEYEN Geert | 68 |
| 11 | CHIAPPUCCI Claudio | 67 |