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 = 0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZEMLYAKOV Oleg | 70 |
| 3 | ȚVETCOV Serghei | 69 |
| 5 | BAZHKOU Stanislau | 65 |
| 6 | KUSCHYNSKI Aleksandr | 65 |
| 7 | BIZHIGITOV Zhandos | 76 |
| 8 | NECHITA Andrei | 71 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 14 | JANIACZYK Błażej | 68 |
| 18 | GERGANOV Evgeni | 60 |
| 22 | SHUSHEMOIN Alexandr | 62 |
| 27 | KÜÇÜKBAY Kemal | 70 |
| 29 | GIDICH Yevgeniy | 69 |
| 30 | SCHLEMMER Lukas | 64 |
| 31 | PREVAR Oleksandr | 64 |
| 34 | GALEYEV Vadim | 68 |
| 36 | PAPOK Siarhei | 76 |