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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUTAROVICH Yauheni | 71 |
| 2 | SHUMOV Nikolai | 65 |
| 4 | SIUTSOU Kanstantsin | 68 |
| 5 | AHIYEVICH Aleh | 70 |
| 6 | KUSCHYNSKI Aleksandr | 65 |
| 7 | SAMOILAU Branislau | 77 |
| 8 | KOSHEVOY Ilia | 62.5 |
| 9 | PAPOK Siarhei | 76 |
| 10 | RIABUSHENKO Alexandr | 61 |
| 11 | PIASETSKI Aliaksandr | 66 |
| 12 | BAZHKOU Stanislau | 65 |
| 13 | DUBOVSKI Vladzislau | 75 |
| 14 | RAMANAU Raman | 68 |
| 15 | AKHRAMENKA Yauheni | 78 |
| 17 | SHEMETAU Mikhail | 79 |