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 - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HRUŠKA Jan | 62 |
| 5 | PETROV Danail Andonov | 63 |
| 8 | FERRÍO Jorge | 51 |
| 11 | GARCÍA DAPENA David | 73 |
| 12 | MAASKANT Martijn | 76 |
| 13 | GESINK Robert | 70 |
| 14 | VEIKKANEN Jussi | 66 |
| 15 | AZANZA Jorge | 68 |
| 17 | RAVARD Anthony | 62 |
| 18 | BOOM Lars | 75 |
| 19 | JOLY Sébastien | 74 |
| 21 | BOUYER Franck | 65 |