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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANTOMARCHI Julien | 70 |
| 2 | FEILLU Romain | 62 |
| 3 | KOZONTCHUK Dmitry | 75 |
| 4 | VELITS Peter | 63 |
| 5 | RASCH Gabriel | 72 |
| 6 | MANDRI René | 66 |
| 7 | GESINK Robert | 70 |
| 8 | LEEZER Tom | 76 |
| 9 | PETERSON Tom | 70 |
| 10 | PARISIEN François | 64 |
| 11 | PERQUE Franck | 78 |
| 12 | BOOM Lars | 75 |