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 = 0.2 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TAMOURIDIS Ioannis | 70 |
| 9 | KORINEK Radim | 69 |
| 12 | GERGANOV Evgeni | 60 |
| 14 | PETROV Daniel Bogomilov | 66 |
| 15 | CHADWICK Glen Alan | 75 |
| 16 | NÜTTLI Jean | 70 |
| 20 | KONDIS Ľuboš | 75 |
| 33 | JOVANOVIĆ Nebojša | 60 |
| 57 | KÜÇÜKBAY Kemal | 70 |
| 77 | KOTOULAS Manolis | 70 |