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 + 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGINA Radoslav | 70 |
| 3 | SAGAN Peter | 78 |
| 4 | MAHORIČ Mitja | 68 |
| 7 | SHUSHEMOIN Alexandr | 62 |
| 12 | TAMOURIDIS Ioannis | 70 |
| 14 | MARIN Matej | 67 |
| 15 | TYBOR Patrik | 72 |
| 16 | SAGAN Juraj | 65 |
| 20 | KÜÇÜKBAY Kemal | 70 |
| 23 | GRUZDEV Dmitriy | 78 |
| 32 | ŠTIMULAK Klemen | 64 |
| 41 | LOVASSY Krisztián | 71 |
| 67 | MAHĎAR Martin | 61 |
| 81 | ČANECKÝ Marek | 72 |
| 86 | ȚVETCOV Serghei | 69 |
| 94 | GYUROV Spas | 75 |