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 = 2.2 * weight - 85
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SEVILLA Óscar | 62 |
| 7 | PEÑA Victor Hugo | 65 |
| 26 | ATAPUMA Darwin | 59 |
| 27 | PARRA Iván Ramiro | 62 |
| 53 | HAMILTON Tyler | 65 |
| 54 | WILCHES Juan Pablo | 56 |
| 70 | ANACONA Winner | 65 |
| 71 | CHALAPUD Robinson | 63 |
| 98 | ACEVEDO Janier | 63 |
| 109 | SANDOVAL Edwin Alexander | 64 |