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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RIABUSHENKO Alexandr | 61 |
| 3 | KARALIOK Yauheni | 75 |
| 4 | PAPOK Siarhei | 76 |
| 6 | SHAUCHENKA Siarhei | 74 |
| 7 | STROKAU Vasili | 74 |
| 9 | PIASETSKI Aliaksandr | 66 |
| 12 | BAZHKOU Stanislau | 65 |
| 16 | SHUMOV Nikolai | 65 |
| 21 | MAZUR Dzianis | 78 |
| 22 | SHEMETAU Mikhail | 79 |
| 23 | SAMOILAU Branislau | 77 |
| 25 | IVASHKIN Anton | 73 |
| 36 | GRINKEVICH Mark | 73 |