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 = 0.2 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BALKAN Onur | 69 |
| 4 | TIRYAKI Oguzhan | 67 |
| 5 | RAMANAU Raman | 68 |
| 6 | LUCHSHENKO Sergey | 63 |
| 10 | BAYEMBAYEV Olzhas | 60 |
| 14 | BAZHKOU Stanislau | 65 |
| 16 | NURLYKHASSYM Nurbergen | 65 |
| 17 | PAPOK Siarhei | 76 |
| 18 | STROKAU Vasili | 74 |
| 22 | IVASHKIN Anton | 73 |
| 23 | SAMOILAU Branislau | 77 |
| 24 | BALKAN Serkan | 64 |
| 27 | YAVUZ Ozan | 65 |
| 29 | SAYAR Mustafa | 64 |
| 31 | KHATPIN Nurzhan | 60 |
| 36 | SHAUCHENKA Siarhei | 74 |