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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUTT Pavel | 70 |
| 3 | ANDRLE René | 70 |
| 4 | RIŠKA Martin | 73 |
| 6 | BENČÍK Petr | 73 |
| 8 | DYACHENKO Alexandr | 65 |
| 10 | HRISTOV Stefan Koychev | 57 |
| 11 | ILIAS Periklis | 69 |
| 12 | DMITRIYEV Valeriy | 69 |
| 15 | KRUPA Dawid | 74 |
| 16 | GYUROV Spas | 75 |
| 21 | TYBOR Patrik | 72 |
| 50 | KAL Miraç | 72 |