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 = 1.5 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAMOURIDIS Ioannis | 70 |
| 3 | DE MARCHI Alessandro | 65 |
| 6 | PEDRAZA Wálter Fernando | 58 |
| 11 | GERGANOV Evgeni | 60 |
| 13 | PREVAR Oleksandr | 64 |
| 14 | VASYLYUK Andriy | 65 |
| 15 | ȚVETCOV Serghei | 69 |
| 26 | ASADOV Elchin | 77 |
| 41 | PETROV Daniel Bogomilov | 66 |
| 46 | SZEGHALMI Balint | 66 |
| 61 | KAL Miraç | 72 |