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 = -2.3 * weight + 195
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAUSSLER Heinrich | 74 |
| 2 | LÖFKVIST Thomas | 70 |
| 6 | FRIEDEMANN Matthias | 75 |
| 10 | DE MAAR Marc | 70 |
| 11 | LANGEVELD Sebastian | 67 |
| 15 | EIBEGGER Markus | 68 |
| 19 | JÉRÔME Vincent | 65 |
| 31 | VEELERS Tom | 75 |
| 42 | SCHLECK Andy | 68 |
| 49 | DIDIER Laurent | 68 |
| 69 | DELAGE Mickaël | 70 |
| 76 | GOTTFRIED Alexander | 60 |
| 81 | GRAF Andreas | 72 |