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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JEKER Fabian | 72 |
| 2 | HRUŠKA Jan | 62 |
| 4 | GAMITO Vitor | 66 |
| 5 | ANDRLE René | 70 |
| 6 | AZEVEDO José Bento | 59 |
| 8 | MØLLER Claus Michael | 70 |
| 9 | BARANOWSKI Dariusz | 68 |
| 13 | PALOMARES Adrián | 56 |
| 14 | NOZAL Isidro | 70 |
| 17 | PLAZA David | 68 |
| 20 | RODRIGUES Orlando Sergio | 68 |
| 22 | PARRA Iván Ramiro | 62 |
| 23 | MERCADO Juan Miguel | 56 |
| 25 | BERNABÉU David | 66 |
| 26 | MAURI Melchor | 68 |
| 28 | RIBEIRO Nuno | 59 |