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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUMOULIN Samuel | 57 |
| 2 | RAVARD Anthony | 62 |
| 4 | DURET Sébastien | 62 |
| 6 | FEILLU Brice | 69 |
| 7 | PÉREZ Marlon Alirio | 68 |
| 9 | LELAY David | 67 |
| 10 | PINEAU Cédric | 68 |
| 11 | MINARD Sébastien | 65 |
| 12 | PINEAU Jérôme | 65 |
| 13 | LEVARLET Guillaume | 67 |
| 14 | CHAVANEL Sébastien | 77 |
| 15 | ENGOULVENT Jimmy | 82 |
| 16 | VANSPEYBROUCK Pieter | 76 |
| 17 | BONNET William | 80 |
| 18 | POULHIÈS Stéphane | 75 |
| 19 | VILLA Romain | 71 |
| 20 | BONNAIRE Olivier | 67 |