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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 3 | VAN PETEGEM Peter | 70 |
| 4 | EDO Ángel | 64 |
| 7 | HVASTIJA Martin | 75 |
| 8 | FONDRIEST Maurizio | 70 |
| 9 | RODRIGUES Orlando Sergio | 68 |
| 10 | SMETANINE Serguei | 69 |
| 11 | LODA Nicola | 73 |
| 16 | DEN BAKKER Maarten | 71 |
| 18 | ZÜLLE Alex | 72 |
| 22 | HAMBURGER Bo | 58 |
| 25 | SAVOLDELLI Paolo | 72 |
| 26 | VOSKAMP Bart | 75 |
| 29 | PASCUAL LLORENTE Javier | 68 |
| 33 | CABELLO Francisco | 72 |