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 = 1.3 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TSVETKOV Nikita | 67 |
| 3 | REMKHI Rudolf | 60 |
| 4 | MILTIADIS Andreas | 74 |
| 6 | LAGAB Azzedine | 63 |
| 7 | RAILEANU Cristian | 63 |
| 11 | ALBLOOSHI Rashid | 60 |
| 15 | NOBEL Rick | 78 |
| 17 | TAKHIROV Diyor | 71 |
| 24 | VOROPAYEV Pavel | 57 |
| 31 | SALBY Alexander | 68 |
| 45 | KHALMURATOV Muradjan | 68 |
| 49 | ALABDULMUNIM Azzam | 64 |
| 52 | TSISHKOU Raman | 72 |
| 59 | TROMAN Vladislav | 68 |
| 60 | ALIYEV Ruslan | 67 |
| 67 | VAN DER MEER Nick | 82 |