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 = -0.1 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUTS Vitaliy | 68 |
| 2 | STEVIĆ Ivan | 66 |
| 5 | GULCAN Ali | 68 |
| 7 | BALKAN Onur | 69 |
| 18 | HRISTOV Stefan Koychev | 57 |
| 20 | BALKAN Serkan | 64 |
| 21 | KOSTYUK Denys | 66 |
| 22 | PETROVSKI Stefan | 69 |
| 23 | SAMLI Feritcan | 75 |
| 27 | VASYLYUK Andriy | 65 |
| 28 | CHOLAKOV Stanimir | 66 |
| 30 | KAL Miraç | 72 |
| 35 | KASA Gabor | 72 |
| 51 | FURLANSKI Velizar | 63 |