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 = -0.9 * weight + 77
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARDOSO Manuel Antonio Leal | 70 |
| 2 | MILÁN Diego | 67 |
| 5 | LAHSAINI Mouhssine | 77 |
| 6 | LOUBET Julien | 66 |
| 8 | AÏT EL ABDIA Anass | 66 |
| 10 | MESTRE Daniel | 65 |
| 17 | SCHULTING Peter | 70 |
| 24 | CAZAUX Pierre | 59 |
| 26 | REUS Kai | 70 |
| 27 | BALKAN Serkan | 64 |
| 28 | LAGAB Azzedine | 63 |
| 29 | DRAPERI Matteo | 70 |
| 32 | CRAVEN Dan | 75 |
| 43 | HRISTOV Stefan Koychev | 57 |