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 - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUTS Vitaliy | 68 |
| 2 | BOEV Igor | 74 |
| 4 | LAGUTIN Sergey | 68 |
| 6 | ZAKARIN Ilnur | 67 |
| 7 | FOLIFOROV Alexander | 61 |
| 8 | FIRSANOV Sergey | 58 |
| 9 | NIKOLAEV Sergey | 66 |
| 10 | VASYLYUK Andriy | 65 |
| 11 | KRIVTSOV Dmytro | 72 |
| 13 | LAGKUTI Sergiy | 68 |
| 14 | ERSHOV Artur | 70 |
| 19 | ZEMLYAKOV Oleg | 70 |
| 29 | KLIMOV Sergey | 69 |
| 33 | EDMÜLLER Benjamin | 70 |