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 = -0.5 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LANGELLA Anthony | 76 |
| 3 | GESLIN Anthony | 68 |
| 4 | DELPECH Jean-Luc | 72 |
| 5 | RENIER Franck | 69 |
| 15 | LEQUATRE Geoffroy | 64 |
| 17 | DUCLOS-LASSALLE Hervé | 63 |
| 19 | COUTOULY Cédric | 72 |
| 20 | KERN Christophe | 72 |
| 23 | CHAVANEL Sébastien | 77 |
| 25 | MOINARD Amaël | 69 |
| 26 | HARY Maryan | 68 |
| 27 | DUPOUEY Christophe | 60 |