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 + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KONING Peter | 77 |
| 4 | IVASHKIN Anton | 73 |
| 5 | SAMOILAU Branislau | 77 |
| 11 | AÏT EL ABDIA Anass | 66 |
| 12 | ERSHOV Artur | 70 |
| 14 | ÖZGÜR Batuhan | 75 |
| 17 | ASADOV Elchin | 77 |
| 19 | CARSTENSEN Lucas | 69 |
| 20 | MANAKOV Victor | 77 |
| 23 | BICHLMANN Daniel | 72 |
| 24 | SAYAR Mustafa | 64 |
| 26 | VAN ENGELEN Adne | 51 |