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 + 112
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
4 | TAMOURIDIS Ioannis | 70 |
6 | VASYLYUK Andriy | 65 |
12 | SZEGHALMI Balint | 66 |
15 | PREVAR Oleksandr | 64 |
27 | ȚVETCOV Serghei | 69 |
32 | ASADOV Elchin | 77 |
33 | KAL Miraç | 72 |
49 | PEDRAZA Wálter Fernando | 58 |
50 | DE MARCHI Alessandro | 65 |
54 | GERGANOV Evgeni | 60 |
63 | PETROV Daniel Bogomilov | 66 |