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 + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | MESTRE Daniel | 65 |
3 | CARDOSO Manuel Antonio Leal | 70 |
8 | AÏT EL ABDIA Anass | 66 |
11 | LAHSAINI Mouhssine | 77 |
14 | MILÁN Diego | 67 |
15 | SCHULTING Peter | 70 |
19 | CAZAUX Pierre | 59 |
20 | KUSZTOR Péter | 61 |
21 | DRAPERI Matteo | 70 |
23 | LOUBET Julien | 66 |