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 = 0.2 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PACIONI Luca | 67 |
| 4 | RODRÍGUEZ Jackson | 58 |
| 5 | UBETO Miguel Armando | 60 |
| 6 | QUINTERO Leonel | 67 |
| 13 | VENCHIARUTTI Nicola | 64 |
| 16 | PEÑUELA Francisco Joel | 56 |
| 37 | RIVERA Kevin | 56 |
| 40 | GÁLVIZ Carlos Johan | 65 |
| 41 | MUÑOZ Daniel | 57 |
| 43 | GUEVARA Gregory | 68 |
| 47 | CEPEDA Jefferson Alexander | 56 |
| 48 | ROA Jhon Erik | 60 |
| 55 | RESTREPO Jhonatan | 73 |
| 59 | REVETE Brayan | 62 |