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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BANDIERA Marco | 68 |
| 2 | DYACHENKO Alexandr | 65 |
| 3 | DOMAGALSKI Karol | 77 |
| 4 | DUARTE Fabio | 55 |
| 5 | BELKOV Maxim | 71 |
| 6 | BILEKA Volodymyr | 65 |
| 8 | PETROV Danail Andonov | 63 |
| 9 | PALOMARES Adrián | 56 |