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 = -1.5 * weight + 139
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | MACHADO Tiago | 63 |
| 14 | RAMIREZ Federico | 71 |
| 17 | GIL MARTINEZ Tomas Aurelio | 60 |
| 20 | EFIMKIN Alexander | 70 |
| 28 | APERRIBAY Lander | 67 |
| 29 | DUCLOS-LASSALLE Hervé | 63 |
| 39 | VÁZQUEZ Manuel | 67 |
| 48 | MATÉ Luis Ángel | 68 |
| 51 | MESTRE Ricardo | 58 |
| 52 | URTASUN Pablo | 69 |
| 54 | CARDOSO André | 56 |
| 58 | BELDA David | 53 |
| 74 | HAEDO Lucas Sebastián | 64 |
| 91 | NIEVE Mikel | 62 |