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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TIETEMA Bas | 74 |
| 2 | OWEN Logan | 67 |
| 3 | OOMEN Sam | 65 |
| 4 | KRUL Stef | 68 |
| 6 | VAN DER POEL Mathieu | 75 |
| 7 | MENTEN Milan | 68 |
| 9 | VAN HOOYDONCK Nathan | 78 |
| 10 | WILLEMS Thimo | 67 |
| 11 | SEYE Guillaume | 77 |
| 12 | WARLOP Jordi | 71 |
| 18 | SCOTT Jacob | 68 |
| 20 | PYFFEROEN Matthias | 68 |