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 = 1.6 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOŽIČ Borut | 70 |
| 2 | PÉREZ Pedro Pablo | 68 |
| 6 | RODRÍGUEZ Jackson | 58 |
| 8 | COSME Antonio | 61 |
| 17 | RAABE Henry | 71 |
| 32 | MAHORIČ Mitja | 68 |
| 35 | ROGINA Radoslav | 70 |
| 37 | PUGACI Igor | 67 |
| 49 | GOTTFRIED Alexander | 60 |
| 55 | SÁNCHEZ Augusto | 72 |
| 73 | KVASINA Matija | 72 |