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 | ARIESEN Johim | 70 |
| 2 | KAŇKOVSKÝ Alois | 83 |
| 3 | BONIFAZIO Leonardo | 63 |
| 4 | DE DECKER Alfdan | 68 |
| 5 | GIBSON Matthew | 76 |
| 6 | FOLSACH Casper | 81 |
| 9 | FARANTAKIS Stylianos | 62 |
| 11 | BOYER Kevin | 67 |
| 13 | PRODHOMME Nicolas | 63 |
| 17 | DONDERS Jelle | 76 |