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 = 1.2 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHALAPUD Robinson | 63 |
| 3 | GUAMÁ Byron | 61 |
| 6 | NAVARRO Royner | 62 |
| 15 | PARRA Heiner Rodrigo | 51 |
| 16 | NARVÁEZ Alexis David | 56 |
| 19 | GÁLVIZ Carlos Johan | 65 |
| 29 | CASTAÑO Erick | 66 |
| 31 | MCGEOUGH Cormac | 76 |
| 62 | PRADO Ignacio de Jesús | 65 |
| 63 | ALBA Juan Diego | 59 |
| 76 | JURADO Christofer Robín | 68 |