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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STASH Mamyr | 77 |
| 3 | BOGDANOVIČS Māris | 68 |
| 4 | VASYLYUK Andriy | 65 |
| 6 | RAMANAU Raman | 68 |
| 7 | VASILYEV Maksym | 70 |
| 9 | PRUUS Peeter | 71 |
| 10 | LAŠINIS Venantas | 69 |
| 12 | ŠIŠKEVIČIUS Paulius | 70 |
| 13 | NEILANDS Krists | 69 |