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 + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARVANITOU Nikiforos | 71 |
| 2 | NEUMAN Dominik | 72 |
| 3 | STOLIĆ Mihajlo | 73 |
| 4 | SZÓSTKA Paweł | 63 |
| 5 | WĄSOWICZ Kajetan | 72 |
| 6 | JAIME Álex | 70 |
| 7 | BANASZEK Alan | 75 |
| 10 | ŘÍMAN Jakub | 58 |
| 11 | LUCCA Riccardo | 74 |
| 12 | FETTER Erik | 70 |
| 13 | BÁRTA Tomáš | 79 |
| 14 | STOYNEV Emil | 95 |
| 15 | STOJNIĆ Veljko | 73 |
| 16 | GADERA Jan | 65 |
| 18 | FILUTÁS Viktor | 68 |
| 22 | FRONER Axel | 63 |