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 + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WANG Meiyin | 70 |
| 3 | VAUBOURZEIX Thomas | 70 |
| 5 | IGLINSKIY Valentin | 68 |
| 6 | BUTS Vitaliy | 68 |
| 7 | CHOI Ki Ho | 59 |
| 8 | DE LA PARTE Víctor | 64 |
| 9 | BUTLER Chris | 61 |
| 11 | GRUZDEV Dmitriy | 78 |
| 12 | ILIAS Periklis | 69 |
| 14 | LEWIS Craig | 65 |
| 17 | PREVAR Oleksandr | 64 |
| 20 | CHEUNG King Lok | 59 |
| 21 | DYACHENKO Alexandr | 65 |
| 22 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 23 | RETSCHKE Robert | 66 |