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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUCHER David | 78 |
| 3 | CAVENDISH Mark | 70 |
| 4 | SIEDLER Sebastian | 75 |
| 5 | GOSS Matthew | 70 |
| 6 | HASELBACHER René | 69 |
| 7 | ROSSELER Sébastien | 78 |
| 8 | ROOIJAKKERS Piet | 68 |
| 9 | DRUJON Mathieu | 75 |
| 10 | DELAGE Mickaël | 70 |
| 11 | LADAGNOUS Matthieu | 73 |
| 12 | BONNET William | 80 |
| 13 | POITSCHKE Enrico | 73 |
| 14 | ENGOULVENT Jimmy | 82 |
| 15 | MARTIAS Rony | 71 |