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 - 24
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUTS Vitaliy | 68 |
| 4 | BALKAN Onur | 69 |
| 5 | KOSTYUK Denys | 66 |
| 6 | HRISTOV Stefan Koychev | 57 |
| 8 | STEVIĆ Ivan | 66 |
| 9 | VASYLYUK Andriy | 65 |
| 11 | KAL Miraç | 72 |
| 13 | BALKAN Serkan | 64 |
| 15 | KASA Gabor | 72 |
| 24 | GULCAN Ali | 68 |
| 31 | SAMLI Feritcan | 75 |
| 34 | FURLANSKI Velizar | 63 |
| 41 | CHOLAKOV Stanimir | 66 |
| 45 | PETROVSKI Stefan | 69 |