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 = 2.9 * weight - 158
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Miguel Ángel | 59 |
| 1 | SEVILLA Óscar | 62 |
| 3 | CHUMIL Sergio Geovani | 62 |
| 5 | ALBA Juan Diego | 59 |
| 8 | REYES Aldemar | 55 |
| 16 | AGUIRRE Hernán Ricardo | 55 |
| 17 | RIVERA Kevin | 56 |
| 24 | JURADO Christofer Robín | 68 |
| 25 | GUAMÁ Byron | 61 |
| 35 | BOHÓRQUEZ Hernando | 68 |
| 43 | SUAZA Bernardo | 66 |
| 56 | BRENES Sebastian | 66 |
| 67 | LACHANCE Jean-Michel | 72 |