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 = 0.1 * weight + 35
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MIRONOV Alexander | 68 |
| 3 | STEVIĆ Ivan | 66 |
| 4 | MEZGEC Luka | 72 |
| 10 | VASYLYUK Andriy | 65 |
| 12 | BIZHIGITOV Zhandos | 76 |
| 28 | GALEYEV Vadim | 68 |
| 34 | SERGIS Kaspars | 75 |
| 42 | PIASETSKI Aliaksandr | 66 |
| 43 | STASH Mamyr | 77 |
| 50 | TAMOURIDIS Ioannis | 70 |
| 56 | ERSHOV Artur | 70 |
| 62 | KRASNOV Leonid | 65 |
| 68 | VASILYEV Maksym | 70 |
| 73 | TOPCHANYUK Artem | 65 |
| 77 | ČANECKÝ Marek | 72 |
| 78 | KASA Gabor | 72 |