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 = 1.7 * weight - 104
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WYSS Marcel | 63 |
| 3 | SCHÄR Michael | 78 |
| 4 | CHEREL Mikaël | 65 |
| 5 | KREUZIGER Roman | 65 |
| 6 | GESINK Robert | 70 |
| 8 | PLIUȘCHIN Alexandr | 66 |
| 9 | VAN AMERONGEN Thijs | 70 |
| 11 | FRANK Mathias | 64 |
| 15 | KREDER Michel | 67 |
| 16 | COPPEL Jérôme | 64 |
| 20 | BARLE Florent | 72 |
| 31 | AAEN JØRGENSEN Jonas | 63 |
| 72 | CHTIOUI Rafaâ | 82 |