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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STALNOV Nikita | 63 |
| 2 | HRISTOV Stefan Koychev | 57 |
| 4 | KUZNETSOV Viacheslav | 70 |
| 5 | SAPA Marcin | 82 |
| 6 | OELERICH Jan | 70 |
| 7 | AYAZBAYEV Maxat | 75 |
| 11 | VASYLYUK Andriy | 65 |
| 12 | BOEV Igor | 74 |
| 14 | LAGKUTI Sergiy | 68 |
| 18 | BOMMEL Henning | 75 |