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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PAPOK Siarhei | 76 |
| 3 | PAGE Dylan | 64 |
| 4 | VAHTRA Norman | 85 |
| 5 | GALEYEV Vadim | 68 |
| 6 | ÖZGÜR Batuhan | 75 |
| 7 | SHUMOV Nikolai | 65 |
| 8 | JABRAYILOV Samir | 52 |
| 9 | BAZHKOU Stanislau | 65 |
| 10 | CAHYADI Aiman | 52 |
| 12 | ÖRKEN Ahmet | 69 |
| 16 | NEPOMNYACHSHIY Yevgeniy | 62 |