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 = -0.5 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURGHARDT Marcus | 75 |
| 5 | WAGNER Robert | 75 |
| 6 | KRIIT Kalle | 63 |
| 9 | HAUSSLER Heinrich | 74 |
| 12 | DIDIER Laurent | 68 |
| 13 | BONNAIRE Olivier | 67 |
| 21 | MANDRI René | 66 |
| 40 | SCHILLINGER Andreas | 72 |
| 51 | CERVENKA Martin | 70 |
| 59 | FOTHEN Thomas | 71 |
| 70 | MORTENSEN Martin | 70 |
| 72 | FRIEDEMANN Matthias | 75 |
| 80 | SØRENSEN Chris Anker | 64 |