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 = -0.2 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CZABOK Konrad | 65 |
| 3 | BANASZEK Norbert | 75 |
| 5 | VOLTR Martin | 75 |
| 12 | PERA Marceli | 68 |
| 14 | MÓRÉ-GOSSELIN Olivier | 72 |
| 16 | KLEVGÅRD Kristian | 74 |
| 17 | OWSIAN Łukasz | 66 |
| 19 | MIAZGA Jan | 65 |
| 22 | ŘEHA Filip | 72 |
| 23 | BANASZEK Alan | 75 |
| 27 | DABSKI Patryk | 70 |
| 32 | LUCCA Riccardo | 74 |
| 34 | RAYMOND Louis | 67 |
| 36 | RADOSZ Maksymilian | 69 |