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 + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PAPOK Siarhei | 76 |
| 4 | BOEV Igor | 74 |
| 8 | NIKOLAEV Sergey | 66 |
| 9 | BOGDANOVIČS Māris | 68 |
| 10 | MANAKOV Victor | 77 |
| 11 | MAIKIN Roman | 68 |
| 14 | BOUGLAS Georgios | 71 |
| 16 | VASILYEV Maksym | 70 |
| 18 | TAMOURIDIS Ioannis | 70 |
| 19 | STASH Mamyr | 77 |
| 25 | AHIYEVICH Aleh | 70 |
| 26 | ZUBOV Matvey | 72 |