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 = 1.2 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAMOURIDIS Ioannis | 70 |
| 3 | PREVAR Oleksandr | 64 |
| 4 | DE MARCHI Alessandro | 65 |
| 5 | VASYLYUK Andriy | 65 |
| 7 | GERGANOV Evgeni | 60 |
| 10 | PEDRAZA Wálter Fernando | 58 |
| 18 | ȚVETCOV Serghei | 69 |
| 19 | ASADOV Elchin | 77 |
| 25 | SAYAR Mustafa | 64 |
| 44 | SZEGHALMI Balint | 66 |
| 57 | KAL Miraç | 72 |
| 59 | PETROV Daniel Bogomilov | 66 |