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 = 0.4 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIŠKA Martin | 73 |
| 7 | KRUPA Dawid | 74 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 11 | BENČÍK Petr | 73 |
| 12 | BRUTT Pavel | 70 |
| 17 | DMITRIYEV Valeriy | 69 |
| 20 | ANDRLE René | 70 |
| 24 | TYBOR Patrik | 72 |
| 27 | DYACHENKO Alexandr | 65 |
| 38 | GYUROV Spas | 75 |
| 50 | ILIAS Periklis | 69 |
| 51 | KAL Miraç | 72 |