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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUTS Vitaliy | 68 |
| 4 | NIKOLAEV Sergey | 66 |
| 6 | BOUGLAS Georgios | 71 |
| 7 | JANORSCHKE Grischa | 78 |
| 9 | TATARINOV Gennadiy | 67 |
| 13 | GRADEK Kamil | 83 |
| 16 | BERNAS Paweł | 77 |
| 17 | VASYLYUK Andriy | 65 |
| 18 | KRIVTSOV Dmytro | 72 |