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 = [a] * weight + 6
This means that on average for every extra kilogram weight a rider loses [a] positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOASSON HAGEN Edvald | 75 |
| 2 | CASPER Jimmy | 69 |
| 3 | ENGOULVENT Jimmy | 82 |
| 4 | GUESDON Frédéric | 73 |
| 5 | LONGO BORGHINI Paolo | 76 |
| 6 | JÉGOU Lilian | 71 |
| 7 | VAN DIJK Stefan | 74 |
| 8 | BLAIN Alexandre | 82 |
| 9 | VANDENBERGH Stijn | 86 |
| 10 | BONNAIRE Olivier | 67 |
| 11 | WEISSINGER René | 74 |
| 12 | VANSPEYBROUCK Pieter | 76 |
| 13 | DEHAES Kenny | 73 |