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 = 1.6 * weight - 91
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PETROV Daniel Bogomilov | 66 |
| 8 | KORINEK Radim | 69 |
| 10 | GERGANOV Evgeni | 60 |
| 11 | JOVANOVIĆ Nebojša | 60 |
| 15 | TAMOURIDIS Ioannis | 70 |
| 26 | NÜTTLI Jean | 70 |
| 32 | CHADWICK Glen Alan | 75 |
| 37 | KONDIS Ľuboš | 75 |