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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Mathieu | 75 |
| 3 | KRUOPIS Aidis | 80 |
| 4 | BALYKIN Ivan | 68 |
| 7 | BAUHAUS Phil | 75 |
| 8 | WALSLEBEN Philipp | 66 |
| 9 | LAAS Martin | 76 |
| 10 | DŽERVUS Darijus | 77 |
| 11 | STASH Mamyr | 77 |
| 12 | NEILANDS Krists | 69 |
| 14 | VASYLYUK Andriy | 65 |
| 15 | EICHLER Markus | 78 |
| 18 | VAN DER POEL David | 75 |
| 19 | REINHARDT Theo | 72 |
| 20 | PAPOK Siarhei | 76 |
| 22 | SHUSHEMOIN Alexandr | 62 |