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 + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 3 | OZERS Kaspars | 73 |
| 4 | WESEMANN Steffen | 72 |
| 6 | CHANTEUR Pascal | 62 |
| 7 | DOMÍNGUEZ Juan Carlos | 64 |
| 8 | ZAMANA Cezary | 74 |
| 9 | KNAVEN Servais | 68 |
| 12 | VAN PETEGEM Peter | 70 |
| 22 | JALABERT Laurent | 66 |