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 = -1.1 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | NOLF Frederiek | 68 |
| 5 | KADRI Blel | 66 |
| 7 | DRUCKER Jempy | 75 |
| 11 | KLUGE Roger | 83 |
| 17 | ROLLAND Pierre | 70 |
| 19 | CLAEYS Dimitri | 77 |
| 20 | CIOLEK Gerald | 75 |
| 21 | BARLE Florent | 72 |
| 24 | FORKE Sebastian | 78 |
| 27 | PFINGSTEN Christoph | 69 |
| 38 | BOUET Maxime | 67 |
| 45 | JANORSCHKE Grischa | 78 |
| 52 | EDMÜLLER Benjamin | 70 |
| 55 | GESCHKE Simon | 64 |
| 61 | KLEMME Dominic | 72 |
| 73 | GRETSCH Patrick | 69 |