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 + 135
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRADO Ignacio de Jesús | 65 |
| 14 | CADENA Edgar David | 63 |
| 18 | CASTAÑO Erick | 66 |
| 22 | VELASCO Henry | 58 |
| 28 | NARVÁEZ Alexis David | 56 |
| 37 | GUAMÁ Byron | 61 |
| 41 | CHALAPUD Robinson | 63 |
| 53 | NAVARRO Royner | 62 |
| 55 | LÓPEZ Ian | 64 |
| 74 | PARRA Heiner Rodrigo | 51 |
| 77 | GÁLVIZ Carlos Johan | 65 |