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 = -0.6 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUSCHYNSKI Aleksandr | 65 |
| 3 | BAZHKOU Stanislau | 65 |
| 4 | ZEMLYAKOV Oleg | 70 |
| 5 | NECHITA Andrei | 71 |
| 6 | BIZHIGITOV Zhandos | 76 |
| 8 | JANIACZYK Błażej | 68 |
| 12 | ȚVETCOV Serghei | 69 |
| 14 | HRISTOV Stefan Koychev | 57 |
| 19 | KÜÇÜKBAY Kemal | 70 |
| 23 | SHUSHEMOIN Alexandr | 62 |
| 26 | TOPCHANYUK Artem | 65 |