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 = 2.8 * weight - 151
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | CAÑAVERAL Johnatan | 60 |
| 28 | MANAKOV Victor | 77 |
| 32 | MUÑOZ William David | 64 |
| 60 | KURBATOV Alexey | 73 |
| 62 | ERSHOV Artur | 70 |
| 74 | EVTUSHENKO Alexander | 72 |
| 75 | STASH Mamyr | 77 |
| 82 | KOONTZ Grant | 80 |