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 = 1.1 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAMOURIDIS Ioannis | 70 |
| 4 | PREVAR Oleksandr | 64 |
| 7 | ČANECKÝ Marek | 72 |
| 12 | HRISTOV Stefan Koychev | 57 |
| 15 | JOVANOVIĆ Nebojša | 60 |
| 17 | KASA Gabor | 72 |
| 23 | GYUROV Spas | 75 |
| 44 | LOVASSY Krisztián | 71 |
| 46 | KOLÁŘ Michael | 90 |