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 = -1.2 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FOTHEN Thomas | 71 |
| 12 | DIDIER Laurent | 68 |
| 14 | SCHILLINGER Andreas | 72 |
| 16 | WAGNER Robert | 75 |
| 27 | MORTENSEN Martin | 70 |
| 29 | MANDRI René | 66 |
| 46 | HAUSSLER Heinrich | 74 |
| 56 | BONNAIRE Olivier | 67 |
| 58 | KRIIT Kalle | 63 |
| 64 | SØRENSEN Chris Anker | 64 |
| 80 | FRIEDEMANN Matthias | 75 |