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 = 0.8 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HAMILTON Tyler | 65 |
| 5 | CHALAPUD Robinson | 63 |
| 6 | ANACONA Winner | 65 |
| 7 | WILCHES Juan Pablo | 56 |
| 10 | SEVILLA Óscar | 62 |
| 11 | PEÑA Victor Hugo | 65 |
| 26 | PARRA Iván Ramiro | 62 |
| 44 | ATAPUMA Darwin | 59 |
| 53 | ACEVEDO Janier | 63 |
| 115 | SANDOVAL Edwin Alexander | 64 |