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 = 0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Pedro Pablo | 68 |
| 2 | RODRÍGUEZ Jackson | 58 |
| 11 | ROGINA Radoslav | 70 |
| 14 | KVASINA Matija | 72 |
| 27 | BOŽIČ Borut | 70 |
| 30 | COSME Antonio | 61 |
| 31 | RAABE Henry | 71 |
| 53 | SÁNCHEZ Augusto | 72 |
| 55 | GOTTFRIED Alexander | 60 |
| 58 | PUGACI Igor | 67 |