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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUVAL Julien | 68 |
| 4 | DURET Sébastien | 62 |
| 5 | GAUTIER Cyril | 65 |
| 7 | VAUBOURZEIX Thomas | 70 |
| 8 | BOUYER Franck | 65 |
| 9 | TRONET Steven | 67 |
| 10 | DENIFL Stefan | 65 |
| 11 | DERNIES Tom | 68 |
| 12 | BELKOV Maxim | 71 |
| 14 | ENGOULVENT Jimmy | 82 |
| 15 | HERRADA Jesús | 70 |