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 + 36
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RESTREPO Jhonatan | 73 |
| 3 | MUÑOZ Daniel | 57 |
| 4 | GÁLVIZ Carlos Johan | 65 |
| 6 | CEPEDA Jefferson Alexander | 56 |
| 9 | QUINTERO Leonel | 67 |
| 19 | RIVERA Kevin | 56 |
| 20 | PEÑUELA Francisco Joel | 56 |
| 23 | ROA Jhon Erik | 60 |
| 33 | RODRÍGUEZ Jackson | 58 |
| 35 | GUEVARA Gregory | 68 |
| 39 | PACIONI Luca | 67 |
| 40 | VENCHIARUTTI Nicola | 64 |
| 56 | REVETE Brayan | 62 |
| 66 | UBETO Miguel Armando | 60 |