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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Pedro Pablo | 68 |
| 3 | BOŽIČ Borut | 70 |
| 4 | RODRÍGUEZ Jackson | 58 |
| 16 | SÁNCHEZ Augusto | 72 |
| 19 | KVASINA Matija | 72 |
| 20 | ROGINA Radoslav | 70 |
| 22 | GOTTFRIED Alexander | 60 |
| 29 | MAHORIČ Mitja | 68 |
| 35 | RAABE Henry | 71 |