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 = -0.4 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN SCHIP Jan-Willem | 84 |
| 2 | PAPOK Siarhei | 76 |
| 4 | GROEN Ike | 70.5 |
| 5 | ÖRKEN Ahmet | 69 |
| 6 | DŽERVUS Darijus | 77 |
| 7 | SAYAR Mustafa | 64 |
| 11 | KAL Miraç | 72 |
| 13 | RAMANAU Raman | 68 |
| 14 | HRISTOV Stefan Koychev | 57 |
| 15 | MIRZA Yousif | 60 |
| 19 | BALKAN Onur | 69 |
| 26 | LAŠINIS Venantas | 69 |
| 27 | SERGIS Kaspars | 75 |
| 28 | AKDILEK Ahmet | 68 |