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 - 11
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZHAPARULY Bauyrzhan | 59 |
| 7 | MOVCHAN Andrii | 65 |
| 16 | STRELNIKOV Yegor | 70 |
| 25 | BULUT Samet | 64 |
| 26 | DOSTIYEV Ilkhan | 57 |
| 27 | OZKALBIM Kaan | 63 |
| 31 | KOST Vitalii | 64 |
| 34 | ÇELIK Ali | 73 |
| 39 | LOHINSKÝ Filip | 71 |
| 40 | TOSUN Cagin | 62 |
| 41 | NURIYEV Nofal | 67 |
| 42 | TUKA Samuel | 57 |
| 47 | MARAL Ahmet | 68 |
| 49 | UZUN Emir | 67 |