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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARRENETXEA Jon | 74 |
| 2 | ZIMMERMANN Georg | 70 |
| 3 | CAVAGNA Rémi | 78 |
| 4 | LATOUR Pierre | 66 |
| 5 | JUARISTI Txomin | 67.5 |
| 7 | RODRÍGUEZ Cristián | 59 |
| 8 | SCARONI Christian | 63 |
| 9 | MOLLEMA Bauke | 64 |
| 10 | GESCHKE Simon | 64 |
| 11 | GAUDU David | 53 |
| 12 | CHAVES Esteban | 55 |
| 13 | LANDA Mikel | 61 |
| 14 | ARANBURU Alex | 63 |
| 15 | HUYS Laurens | 61 |
| 16 | EIKING Odd Christian | 75 |
| 17 | RUIZ Ibon | 65 |