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 + 26
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PLANCKAERT Eddy | 69 |
| 8 | DOMÍNGUEZ Manuel Jorge | 67 |
| 14 | ELLIOTT Malcolm | 76 |
| 19 | HARMELING Rob | 76 |
| 21 | JOURDAN Christian | 64 |
| 27 | UGRUMOV Piotr | 58 |
| 36 | MURGUIALDAY Javier | 58 |
| 44 | ARNTZ Marcel | 70 |
| 50 | DELGADO Pedro | 64 |
| 51 | WECHSELBERGER Helmut | 71 |
| 59 | HOLM SØRENSEN Brian | 77 |
| 67 | MAURI Melchor | 68 |