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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ETXEBARRIA Unai | 68 |
| 2 | VANOTTI Alessandro | 70 |
| 3 | FÉDRIGO Pierrick | 66 |
| 4 | GÓMEZ MARCHANTE José Ángel | 60 |
| 5 | OSA Aitor | 64 |
| 6 | CHAVANEL Sylvain | 73 |
| 7 | COLOM Antonio | 71 |
| 8 | TONDO Xavier | 68 |
| 9 | VALVERDE Alejandro | 61 |
| 11 | SÁNCHEZ Samuel | 65 |
| 12 | VILA Francisco Javier | 67 |