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 = 1.2 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PREVAR Oleksandr | 64 |
| 4 | TAMOURIDIS Ioannis | 70 |
| 7 | KASA Gabor | 72 |
| 12 | HRISTOV Stefan Koychev | 57 |
| 17 | JOVANOVIĆ Nebojša | 60 |
| 38 | GYUROV Spas | 75 |
| 43 | TOPCHANYUK Artem | 65 |
| 56 | KOLÁŘ Michael | 90 |
| 58 | STEVIĆ Ivan | 66 |
| 59 | LOVASSY Krisztián | 71 |