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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SAMOILAU Branislau | 77 |
| 3 | DYACHENKO Alexandr | 65 |
| 4 | ZEITS Andrey | 73 |
| 5 | LEEZER Tom | 76 |
| 7 | ANTOMARCHI Julien | 70 |
| 8 | GONÇALVES José | 70 |
| 9 | EL FARES Julien | 62 |
| 10 | KUREK Adrian | 80 |
| 11 | BONIFAZIO Niccolò | 72 |
| 12 | SHUSHEMOIN Alexandr | 62 |
| 13 | ASADOV Elchin | 77 |
| 15 | DUEÑAS Moisés | 61 |