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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SAMOILAU Branislau | 77 |
| 4 | AÏT EL ABDIA Anass | 66 |
| 6 | VAN ENGELEN Adne | 51 |
| 7 | ÖRKEN Ahmet | 69 |
| 8 | SAYAR Mustafa | 64 |
| 10 | ASADOV Elchin | 77 |
| 12 | LAGAB Azzedine | 63 |
| 13 | CARSTENSEN Lucas | 69 |
| 14 | KONING Peter | 77 |
| 16 | WOLF Justin | 85 |
| 19 | ĐURIĆ Đorđe | 79 |
| 21 | VORGANOV Eduard | 65 |
| 25 | HADDI Soufiane | 63 |
| 27 | KLISURIĆ Stevan | 70 |