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 = 2.1 * weight - 122
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAMOURIDIS Ioannis | 70 |
| 3 | PETROV Daniel Bogomilov | 66 |
| 5 | HRISTOV Stefan Koychev | 57 |
| 8 | SZEGHALMI Balint | 66 |
| 9 | GERGANOV Evgeni | 60 |
| 14 | ȚVETCOV Serghei | 69 |
| 45 | LOVASSY Krisztián | 71 |
| 49 | ASADOV Elchin | 77 |