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 = 5.1 * weight - 262
This means that on average for every extra kilogram weight a rider loses 5.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SEVILLA Óscar | 62 |
| 15 | PARRA Iván Ramiro | 62 |
| 18 | PEÑA Victor Hugo | 65 |
| 28 | ATAPUMA Darwin | 59 |
| 49 | WILCHES Juan Pablo | 56 |
| 60 | CHALAPUD Robinson | 63 |
| 69 | HAMILTON Tyler | 65 |
| 93 | ACEVEDO Janier | 63 |
| 105 | ANACONA Winner | 65 |
| 135 | SANDOVAL Edwin Alexander | 64 |