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 - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SOUSA Rui | 59 |
| 7 | PALOMARES Adrián | 56 |
| 10 | MERCADO Juan Miguel | 56 |
| 11 | TESSIER Jean-Michel | 70 |
| 13 | RODRIGUES Orlando Sergio | 68 |
| 15 | BRUTT Pavel | 70 |
| 18 | PÉREZ Francisco | 76 |
| 20 | BERNABÉU David | 66 |
| 23 | VILA Francisco Javier | 67 |
| 24 | PETROV Danail Andonov | 63 |
| 30 | FOFONOV Dmitriy | 65 |