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 = 2.1 * weight - 107
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 4 | TLEUBAYEV Ruslan | 70 |
| 7 | NIKOLAEV Sergey | 66 |
| 10 | REINHARDT Theo | 72 |
| 21 | GRIGOREV Aleksandr | 73 |
| 23 | VASILYEV Maksym | 70 |
| 26 | KOZHATAYEV Bakhtiyar | 62 |
| 30 | VASYLYUK Andriy | 65 |
| 34 | TOPCHANYUK Artem | 65 |
| 43 | PREVAR Oleksandr | 64 |
| 48 | KATYRIN Roman | 65 |
| 51 | KOCHETKOV Pavel | 70 |
| 58 | WERDA Maximilian | 66 |
| 61 | BOEV Igor | 74 |
| 88 | BIZHIGITOV Zhandos | 76 |