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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TIVANI German Nicolás | 67 |
| 2 | PEÑA Jesús David | 56 |
| 5 | GILMORE Brady | 70 |
| 6 | LEITÃO Iúri | 65 |
| 7 | NYCH Artem | 74 |
| 9 | CAMPOS Francisco | 60 |
| 10 | LOPES Lucas | 59 |
| 11 | MORAIS Francisco | 68 |
| 13 | ARRIOLA-BENGOA Julen | 52 |