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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HASNAOUI Maher | 80 |
| 2 | PERGET Mathieu | 64 |
| 3 | HADDI Soufiane | 63 |
| 5 | JELLOUL Adil | 58 |
| 6 | LAGAB Azzedine | 63 |
| 9 | LAHSAINI Mouhssine | 77 |
| 11 | AÏT EL ABDIA Anass | 66 |
| 14 | CHTIOUI Rafaâ | 82 |
| 15 | CHAABANE Hichem | 70 |
| 17 | KOLÁŘ Michael | 90 |
| 21 | BAŠKA Erik | 74 |
| 27 | NOUISRI Ali | 74 |