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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEZZA Quentin | 76 |
| 2 | HAVIK Yoeri | 66 |
| 4 | MÜLLER Tobias | 64 |
| 6 | DINA Márton | 67 |
| 7 | PERON Andrea | 70 |
| 8 | VERWILT Mauro | 76 |
| 9 | GEENS Jonas | 78 |
| 10 | ĐURIĆ Đorđe | 79 |
| 11 | MEENS Johan | 62 |
| 15 | SCOTT Robert | 73 |
| 16 | BOSTOCK Matthew | 69 |
| 21 | BURNETT Josh | 73 |
| 22 | VAN SCHIP Jan-Willem | 84 |
| 23 | FINKŠT Tilen | 70 |
| 24 | HOČEVAR Kristjan | 57 |
| 25 | HEREMANS Joppe | 68 |