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 = 0.2 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANAKOV Victor | 77 |
| 2 | MIRONOV Alexander | 68 |
| 3 | NIKOLAEV Sergey | 66 |
| 7 | OVECHKIN Artem | 61 |
| 8 | VASYLYUK Andriy | 65 |
| 16 | ZAKARIN Ilnur | 67 |
| 23 | EVTUSHENKO Alexander | 72 |
| 26 | KOZHATAYEV Bakhtiyar | 62 |
| 29 | STASH Mamyr | 77 |
| 33 | BIZHIGITOV Zhandos | 76 |
| 38 | KOCHETKOV Pavel | 70 |
| 40 | FIRSANOV Sergey | 58 |
| 43 | RYBAKOV Alexander | 65 |
| 47 | ROVNY Ivan | 62 |
| 57 | KONDRUT Vitaliy | 79 |