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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 2 | CASTANHEIRA Bruno Miguel | 70 |
| 4 | DOMÍNGUEZ Juan Carlos | 64 |
| 5 | KINTANA Aitor | 60 |
| 6 | TOTSCHNIG Georg | 62 |
| 7 | MØLLER Claus Michael | 70 |
| 8 | FERNÁNDEZ Bingen | 61 |
| 9 | LÓPEZ DE MUNAIN Alberto | 65 |
| 10 | SASTRE Carlos | 61 |