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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIRYIENKA Vasil | 69 |
| 2 | SAMOILAU Branislau | 77 |
| 3 | AHIYEVICH Aleh | 70 |
| 5 | TSISHKOU Raman | 72 |
| 6 | MUZYCHKIN Anton | 76 |
| 7 | PAPOK Siarhei | 76 |
| 9 | RIABUSHENKO Alexandr | 61 |
| 10 | AKHRAMENKA Yauheni | 78 |
| 11 | KARALIOK Yauheni | 75 |
| 13 | SHEMETAU Mikhail | 79 |
| 14 | PIASETSKI Aliaksandr | 66 |
| 23 | RAMANAU Raman | 68 |
| 27 | STROKAU Vasili | 74 |
| 29 | IVASHKIN Anton | 73 |