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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAMOILAU Branislau | 77 |
| 2 | AÏT EL ABDIA Anass | 66 |
| 3 | VAN ENGELEN Adne | 51 |
| 4 | SAYAR Mustafa | 64 |
| 6 | LAGAB Azzedine | 63 |
| 7 | KONING Peter | 77 |
| 8 | WOLF Justin | 85 |
| 11 | ASADOV Elchin | 77 |
| 12 | VORGANOV Eduard | 65 |
| 14 | HADDI Soufiane | 63 |
| 15 | ÖRKEN Ahmet | 69 |