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 = 0.3 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAHORIČ Mitja | 68 |
| 4 | KVACHUK Oleksandr | 68 |
| 7 | ROGINA Radoslav | 70 |
| 10 | KOREN Kristijan | 72 |
| 14 | SAGAN Juraj | 65 |
| 19 | FLÜCKIGER Lukas | 70 |
| 21 | KÜÇÜKBAY Kemal | 70 |
| 23 | BAJC Andi | 65 |
| 28 | JOVANOVIĆ Nebojša | 60 |
| 29 | KVASINA Matija | 72 |
| 30 | TOMIĆ Marko | 79 |
| 31 | KÖNIG Leopold | 62 |
| 41 | KUSZTOR Péter | 61 |
| 45 | GERGANOV Evgeni | 60 |
| 84 | VREČER Robert | 68 |
| 89 | GYUROV Spas | 75 |