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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FREIRE Óscar | 63 |
| 2 | PAOLINI Luca | 66 |
| 3 | ZABEL Erik | 69 |
| 4 | VALVERDE Alejandro | 61 |
| 5 | REBELLIN Davide | 63 |
| 6 | PASCUAL LLORENTE Javier | 68 |
| 7 | BOONEN Tom | 82 |
| 8 | KIRSIPUU Jaan | 80 |
| 10 | TONDO Xavier | 68 |