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 - 19
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ASKARI Hossein | 73 |
| 5 | MIZBANI Ghader | 67 |
| 6 | KAZEMI Sarai Ahad | 71 |
| 9 | WACKER Eugen | 65 |
| 18 | GERGANOV Evgeni | 60 |
| 21 | ASADOV Elchin | 77 |
| 26 | NADIRADZE Giorgi | 70 |
| 41 | TYBOR Patrik | 72 |
| 47 | GULCAN Ali | 68 |
| 49 | KAL Miraç | 72 |