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 = -2.9 * weight + 235
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BURGHARDT Marcus | 75 |
| 5 | FOTHEN Thomas | 71 |
| 8 | SØRENSEN Chris Anker | 64 |
| 12 | MORTENSEN Martin | 70 |
| 14 | HAUSSLER Heinrich | 74 |
| 18 | SCHILLINGER Andreas | 72 |
| 23 | FRIEDEMANN Matthias | 75 |
| 36 | WAGNER Robert | 75 |
| 37 | BONNAIRE Olivier | 67 |
| 45 | KRIIT Kalle | 63 |
| 52 | CERVENKA Martin | 70 |
| 85 | DIDIER Laurent | 68 |
| 92 | MANDRI René | 66 |