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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHUSHEMOIN Alexandr | 62 |
| 2 | BUTS Vitaliy | 68 |
| 3 | GERGANOV Evgeni | 60 |
| 5 | HRISTOV Stefan Koychev | 57 |
| 6 | SAPA Marcin | 82 |
| 7 | KOSTYUK Denys | 66 |
| 9 | GYUROV Spas | 75 |
| 10 | TANOVIȚCHII Nicolae | 73 |
| 12 | KVACHUK Oleksandr | 68 |
| 14 | DE LA PARTE Víctor | 64 |
| 15 | BERDOS Oleg | 68 |
| 17 | DI GRÉGORIO Rémy | 67 |
| 22 | BALKAN Serkan | 64 |
| 25 | GRADEK Kamil | 83 |
| 29 | JABRAYILOV Samir | 52 |