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 = -0.5 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUBIERA José Luis | 69 |
| 2 | SASTRE Carlos | 61 |
| 3 | JEKER Fabian | 72 |
| 4 | BLANCO Santiago | 66 |
| 5 | GARCÍA CASAS Félix Miguel | 63 |
| 8 | ODRIOZOLA Jon | 70 |
| 9 | LAISEKA Roberto | 63 |
| 10 | JALABERT Laurent | 66 |
| 12 | VALVERDE Alejandro | 61 |
| 13 | VÁZQUEZ José Manuel | 65 |
| 14 | ARROYO David | 63 |
| 15 | OSA Unai | 65 |