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 = 2.6 * weight - 152
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZAKARIN Ilnur | 67 |
| 2 | FIRSANOV Sergey | 58 |
| 7 | RYBAKOV Alexander | 65 |
| 8 | OVECHKIN Artem | 61 |
| 9 | NIKOLAEV Sergey | 66 |
| 14 | KOZHATAYEV Bakhtiyar | 62 |
| 17 | KOCHETKOV Pavel | 70 |
| 18 | ROVNY Ivan | 62 |
| 21 | VASYLYUK Andriy | 65 |
| 27 | BIZHIGITOV Zhandos | 76 |
| 40 | KONDRUT Vitaliy | 79 |
| 42 | MIRONOV Alexander | 68 |
| 52 | STASH Mamyr | 77 |
| 59 | EVTUSHENKO Alexander | 72 |
| 78 | MANAKOV Victor | 77 |