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 = 1.1 * weight - 39
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PRADO Ignacio de Jesús | 65 |
| 4 | GUAMÁ Byron | 61 |
| 10 | CHALAPUD Robinson | 63 |
| 14 | PARRA Heiner Rodrigo | 51 |
| 24 | NAVARRO Royner | 62 |
| 26 | NARVÁEZ Alexis David | 56 |
| 35 | MCGEOUGH Cormac | 76 |
| 40 | GÁLVIZ Carlos Johan | 65 |
| 53 | ALBA Juan Diego | 59 |
| 58 | CASTAÑO Erick | 66 |
| 63 | JURADO Christofer Robín | 68 |