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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOTHEN Markus | 71 |
| 2 | SZMYD Sylwester | 60 |
| 4 | SCHUMACHER Stefan | 71 |
| 5 | YAKOVLEV Serguei | 70 |
| 7 | SABALIAUSKAS Marius | 76 |
| 8 | AERTS Mario | 68 |
| 12 | MONTGOMERY Sven | 62 |
| 13 | KVASINA Matija | 72 |
| 14 | NÜTTLI Jean | 70 |
| 16 | GLASNER Björn | 72 |
| 17 | IVANOV Sergei | 73 |
| 18 | LUDEWIG Jörg | 75 |
| 21 | DEKKER Thomas | 69 |
| 24 | AERNOUTS Bart | 60 |