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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | IVASHKIN Anton | 73 |
| 3 | STROKAU Vasili | 74 |
| 4 | SHUMOV Nikolai | 65 |
| 5 | PAPOK Siarhei | 76 |
| 9 | KARALIOK Yauheni | 75 |
| 10 | BAZHKOU Stanislau | 65 |
| 11 | RIABUSHENKO Alexandr | 61 |
| 12 | SAMOILAU Branislau | 77 |
| 13 | SHAUCHENKA Siarhei | 74 |
| 18 | PIASETSKI Aliaksandr | 66 |