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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAPOK Siarhei | 76 |
| 2 | SAVITSKIY Ivan | 72 |
| 3 | MANAKOV Victor | 77 |
| 5 | NIKOLAEV Sergey | 66 |
| 6 | SOLOMENNIKOV Andrei | 72 |
| 7 | RAMANAU Raman | 68 |
| 10 | KURBATOV Alexey | 73 |
| 12 | KARALIOK Yauheni | 75 |
| 17 | BALYKIN Ivan | 68 |
| 18 | KRITSKIY Timofey | 81 |