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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHREURS Hamish | 69 |
| 2 | STOSZ Patryk | 70 |
| 3 | NATAROV Yuriy | 68 |
| 4 | FRAHM Jasper | 90 |
| 5 | PALUTA Michał | 65 |
| 6 | KANTER Max | 68 |
| 7 | ROHDE Leon | 75 |
| 8 | SCHÖNBERGER Sebastian | 64 |
| 9 | TAMINIAUX Lionel | 74 |
| 10 | WACHTER Alexander | 72 |
| 11 | CASTRIQUE Jonas | 81 |