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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KURIANOV Stepan | 74 |
| 2 | WELTEN Bram | 81 |
| 3 | WIRTGEN Tom | 77 |
| 4 | GAUDU David | 53 |
| 5 | MENTEN Milan | 68 |
| 6 | WARLOP Jordi | 71 |
| 7 | CORNELISSE Mitchell | 73.5 |
| 8 | DE POORTER Maxime | 68 |
| 12 | DE VRIES Hartthijs | 66 |
| 13 | WILLEMS Thimo | 67 |
| 15 | MOLLY Kenny | 61 |