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 = 1.3 * weight - 72
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HRISTOV Stefan Koychev | 57 |
| 3 | BERDOS Oleg | 68 |
| 4 | SHUSHEMOIN Alexandr | 62 |
| 6 | NYCH Artem | 74 |
| 7 | PREVAR Oleksandr | 64 |
| 8 | VASYLYUK Andriy | 65 |
| 9 | KVACHUK Oleksandr | 68 |
| 11 | ZEMLYAKOV Oleg | 70 |
| 19 | NECHITA Andrei | 71 |
| 21 | KOMIN Aleksandr | 63 |
| 25 | BALKAN Serkan | 64 |
| 26 | GROSU Eduard-Michael | 68 |
| 27 | CHOLAKOV Stanimir | 66 |
| 29 | KÜÇÜKBAY Kemal | 70 |
| 33 | KRIVTSOV Dmytro | 72 |
| 42 | PELIKÁN János | 76 |