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 = -0.6 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHÄR Michael | 78 |
| 2 | GESINK Robert | 70 |
| 3 | KREUZIGER Roman | 65 |
| 4 | PLIUȘCHIN Alexandr | 66 |
| 6 | COPPEL Jérôme | 64 |
| 7 | VAN AMERONGEN Thijs | 70 |
| 8 | CHEREL Mikaël | 65 |
| 9 | CHTIOUI Rafaâ | 82 |
| 10 | WYSS Marcel | 63 |
| 11 | BARLE Florent | 72 |
| 21 | KREDER Michel | 67 |
| 29 | AAEN JØRGENSEN Jonas | 63 |
| 31 | FRANK Mathias | 64 |