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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OMLOOP Geert | 78 |
| 3 | BORTOLAMI Gianluca | 73 |
| 4 | QUINZIATO Manuel | 74 |
| 5 | O'GRADY Stuart | 73 |
| 6 | VAN DIJK Stefan | 74 |
| 7 | BOONEN Tom | 82 |
| 8 | SENTJENS Roy | 75 |
| 9 | HUNTER Robert | 72 |
| 10 | CHAVANEL Sébastien | 77 |
| 11 | VAN HEESWIJK Max | 73 |