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 - 23
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DESSEL Cyril | 63 |
| 2 | FLORENCIO Xavier | 59 |
| 3 | SCHEIRLINCKX Bert | 67 |
| 4 | GADRET John | 58 |
| 5 | GÉRARD Arnaud | 70 |
| 7 | MANDRI René | 66 |
| 8 | PÉREZ RODRÍGUEZ Luis | 67 |
| 9 | PATE Danny | 73 |
| 10 | BELTRÁN Manuel | 60 |
| 11 | CALZATI Sylvain | 68 |
| 12 | DYACHENKO Alexandr | 65 |
| 13 | VAN DEN BROECK Jurgen | 69 |
| 14 | GESINK Robert | 70 |
| 15 | HALGAND Patrice | 67 |