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 = -0.8 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SHUSHEMOIN Alexandr | 62 |
| 6 | GALEYEV Vadim | 68 |
| 7 | NECHITA Andrei | 71 |
| 8 | BIZHIGITOV Zhandos | 76 |
| 11 | BAZHKOU Stanislau | 65 |
| 12 | GIDICH Yevgeniy | 69 |
| 17 | PAPOK Siarhei | 76 |
| 18 | ȚVETCOV Serghei | 69 |
| 19 | ZEMLYAKOV Oleg | 70 |
| 20 | JANIACZYK Błażej | 68 |
| 24 | PREVAR Oleksandr | 64 |
| 25 | KÜÇÜKBAY Kemal | 70 |
| 27 | HRISTOV Stefan Koychev | 57 |
| 29 | GERGANOV Evgeni | 60 |
| 33 | KUSCHYNSKI Aleksandr | 65 |
| 38 | SCHLEMMER Lukas | 64 |