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 + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ÖZGÜR Batuhan | 75 |
| 2 | ÖRKEN Ahmet | 69 |
| 3 | LUCHSHENKO Sergey | 63 |
| 4 | BALKAN Onur | 69 |
| 5 | JABRAYILOV Samir | 52 |
| 10 | PREVAR Oleksandr | 64 |
| 11 | ASADOV Elchin | 77 |
| 12 | KHAFI Oussama | 65 |
| 13 | MIKAYILZADE Musa | 66 |
| 15 | BAYEMBAYEV Olzhas | 60 |
| 17 | MANSOURI Abderrahmane | 66 |
| 18 | TIRYAKI Oguzhan | 67 |
| 19 | BALKAN Serkan | 64 |
| 27 | LAGAB Azzedine | 63 |
| 43 | JAWAD Mansoor | 58 |