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 = 1.2 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | DMITRIYEV Valeriy | 69 |
| 14 | ZEITS Andrey | 73 |
| 17 | RAIMBEKOV Bolat | 66 |
| 18 | HRISTOV Stefan Koychev | 57 |
| 24 | DYACHENKO Alexandr | 65 |
| 34 | ILIAS Periklis | 69 |
| 46 | JOVANOVIĆ Nebojša | 60 |
| 81 | GYUROV Spas | 75 |