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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Stefan | 74 |
| 2 | OMLOOP Geert | 78 |
| 3 | GUESDON Frédéric | 73 |
| 4 | BODROGI László | 79 |
| 5 | DEN BAKKER Maarten | 71 |
| 6 | KOERTS Jans | 78 |
| 7 | MCEWEN Robbie | 67 |
| 8 | COOKE Baden | 75 |
| 9 | KNAVEN Servais | 68 |
| 11 | GARDEYN Gorik | 75 |
| 14 | BÄCKSTEDT Magnus | 94 |
| 15 | STEELS Tom | 73 |
| 17 | METLUSHENKO Yuri | 82 |
| 19 | ZONNEVELD Thijs | 63 |