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 = 0.9 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ACOSTA Ruben Dario | 58 |
| 4 | MCGEOUGH Cormac | 76 |
| 5 | GUAMÁ Byron | 61 |
| 11 | CHUMIL Sergio Geovani | 62 |
| 18 | PARRA Heiner Rodrigo | 51 |
| 28 | RIVERA Kevin | 56 |
| 29 | ALBA Juan Diego | 59 |
| 43 | BRENES Sebastian | 66 |
| 47 | RODAS Manuel | 68 |
| 51 | LACHANCE Jean-Michel | 72 |
| 54 | DE LOS SANTOS Argus | 64 |
| 81 | PRADO Ignacio de Jesús | 65 |