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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 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 | WIELINGA Remmert | 68 |
7 | PASCUAL LLORENTE Javier | 68 |
8 | BOONEN Tom | 82 |
9 | RODRÍGUEZ Joaquim | 58 |