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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | TONDO Xavier | 68 |
| 8 | PETROV Danail Andonov | 63 |
| 10 | MACHADO Tiago | 63 |
| 12 | AZEVEDO José Bento | 59 |
| 13 | EDO Ángel | 64 |
| 16 | MARQUE Alejandro Manuel | 68 |
| 17 | ROSENDO Jesús | 66 |
| 20 | ORTEGA Manuel | 68 |
| 22 | RIBEIRO Nuno | 59 |