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 = -0.2 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JANSE VAN RENSBURG Reinardt | 74 |
| 2 | BROWN Arran | 75 |
| 3 | METLUSHENKO Yuri | 82 |
| 5 | CHAOUFI Tarik | 65 |
| 7 | JELLOUL Adil | 58 |
| 8 | HADDI Soufiane | 63 |
| 9 | BILEKA Volodymyr | 65 |
| 10 | LAHSAINI Mouhssine | 77 |