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 = 0.8 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAHORIČ Mitja | 68 |
| 3 | KVACHUK Oleksandr | 68 |
| 6 | FLÜCKIGER Lukas | 70 |
| 7 | ROGINA Radoslav | 70 |
| 12 | KVASINA Matija | 72 |
| 13 | SAGAN Juraj | 65 |
| 19 | GERGANOV Evgeni | 60 |
| 22 | KOREN Kristijan | 72 |
| 31 | KÖNIG Leopold | 62 |
| 32 | VREČER Robert | 68 |
| 37 | KUSZTOR Péter | 61 |
| 49 | GYUROV Spas | 75 |
| 51 | JOVANOVIĆ Nebojša | 60 |
| 68 | KÜÇÜKBAY Kemal | 70 |
| 79 | BAJC Andi | 65 |
| 82 | TOMIĆ Marko | 79 |