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 = -0.6 * weight + 77
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GRUZDEV Dmitriy | 78 |
| 9 | MAHĎAR Martin | 61 |
| 13 | SAGAN Peter | 78 |
| 15 | MAHORIČ Mitja | 68 |
| 16 | ROGINA Radoslav | 70 |
| 21 | SHUSHEMOIN Alexandr | 62 |
| 25 | TYBOR Patrik | 72 |
| 26 | KÜÇÜKBAY Kemal | 70 |
| 42 | SAGAN Juraj | 65 |
| 45 | MARIN Matej | 67 |
| 53 | GYUROV Spas | 75 |
| 57 | ŠTIMULAK Klemen | 64 |
| 66 | ȚVETCOV Serghei | 69 |
| 70 | TAMOURIDIS Ioannis | 70 |