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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TYBOR Patrik | 72 |
| 2 | CIEŚLIK Paweł | 65 |
| 3 | HRISTOV Stefan Koychev | 57 |
| 5 | PANASSENKO Nikita | 69 |
| 8 | MORAJKO Jacek | 65 |
| 9 | ZEMLYAKOV Oleg | 70 |
| 10 | BUTS Vitaliy | 68 |
| 13 | NIKITIN Matvey | 61 |
| 14 | STALNOV Nikita | 63 |
| 15 | PREVAR Oleksandr | 64 |
| 17 | VASYLYUK Andriy | 65 |
| 22 | TOPCHANYUK Artem | 65 |
| 24 | STEVIĆ Ivan | 66 |
| 27 | GERGANOV Evgeni | 60 |