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 = 1.3 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOŽIČ Borut | 70 |
| 2 | PÉREZ Pedro Pablo | 68 |
| 3 | RODRÍGUEZ Jackson | 58 |
| 14 | KVASINA Matija | 72 |
| 24 | ROGINA Radoslav | 70 |
| 30 | GOTTFRIED Alexander | 60 |
| 34 | MAHORIČ Mitja | 68 |
| 37 | RAABE Henry | 71 |
| 60 | PUGACI Igor | 67 |
| 71 | SÁNCHEZ Augusto | 72 |