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 = 1.8 * weight - 89
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGINA Radoslav | 70 |
| 2 | MAHORIČ Mitja | 68 |
| 4 | KVASINA Matija | 72 |
| 7 | ILIAS Periklis | 69 |
| 9 | JOVANOVIĆ Nebojša | 60 |
| 13 | BENČÍK Petr | 73 |
| 16 | GERGANOV Evgeni | 60 |
| 53 | TYBOR Patrik | 72 |
| 56 | KUSZTOR Péter | 61 |
| 62 | MARIN Matej | 67 |
| 74 | TOMIĆ Marko | 79 |
| 94 | KOGUT Volodymyr | 73 |