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 + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEYSEN Senne | 78 |
| 2 | TSCHERNOSTER Jan | 62 |
| 4 | NATAROV Yuriy | 68 |
| 5 | CULLAIGH Gabriel | 78 |
| 6 | GREGAARD Jonas | 66 |
| 7 | FRAHM Jasper | 90 |
| 9 | BOUHANNI Rayane | 70 |
| 11 | PLANCKAERT Emiel | 69 |
| 12 | JAKOBSEN Fabio | 78 |
| 14 | KUZMIN Anton | 66 |
| 17 | MENTEN Milan | 68 |
| 19 | JÄGELER Robert | 71 |
| 20 | JÜRß Malte | 77 |
| 22 | PORZNER Manuel | 75 |