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 = -0.2 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SAGAN Juraj | 65 |
| 10 | MAHĎAR Martin | 61 |
| 15 | SAGAN Peter | 78 |
| 17 | KÜÇÜKBAY Kemal | 70 |
| 19 | TAMOURIDIS Ioannis | 70 |
| 21 | SHUSHEMOIN Alexandr | 62 |
| 23 | GRUZDEV Dmitriy | 78 |
| 24 | ROGINA Radoslav | 70 |
| 27 | MAHORIČ Mitja | 68 |
| 29 | GYUROV Spas | 75 |
| 38 | MARIN Matej | 67 |
| 57 | TYBOR Patrik | 72 |
| 77 | ŠTIMULAK Klemen | 64 |
| 78 | ȚVETCOV Serghei | 69 |