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 = -2.1 * weight + 193
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAUSSLER Heinrich | 74 |
| 2 | VEELERS Tom | 75 |
| 10 | DIDIER Laurent | 68 |
| 12 | JÉRÔME Vincent | 65 |
| 13 | EIBEGGER Markus | 68 |
| 22 | LANGEVELD Sebastian | 67 |
| 25 | LÖFKVIST Thomas | 70 |
| 34 | DE MAAR Marc | 70 |
| 39 | FRIEDEMANN Matthias | 75 |
| 53 | SCHLECK Andy | 68 |
| 75 | BRAMMEIER Matt | 72 |
| 85 | MORTENSEN Martin | 70 |
| 94 | GRAF Andreas | 72 |
| 100 | GOTTFRIED Alexander | 60 |
| 101 | DELAGE Mickaël | 70 |