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 = 3.6 * weight - 203
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FIRSANOV Sergey | 58 |
| 12 | PREVAR Oleksandr | 64 |
| 14 | NIKOLAEV Sergey | 66 |
| 18 | TOPCHANYUK Artem | 65 |
| 24 | VASILYEV Maksym | 70 |
| 32 | VASYLYUK Andriy | 65 |
| 36 | KOZHATAYEV Bakhtiyar | 62 |
| 43 | WERDA Maximilian | 66 |
| 50 | REINHARDT Theo | 72 |
| 52 | GRIGOREV Aleksandr | 73 |
| 55 | KATYRIN Roman | 65 |
| 64 | BIZHIGITOV Zhandos | 76 |
| 65 | TLEUBAYEV Ruslan | 70 |
| 87 | BOEV Igor | 74 |