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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KELEMEN Petr | 70 |
| 8 | FETTER Erik | 70 |
| 9 | BOROŠ Michael | 69 |
| 13 | DE LANGE Thijs | 58 |
| 14 | PAULUS Milan | 62 |
| 16 | ŤOUPALÍK Jakub | 65 |
| 17 | VOISARD Yannis | 56 |
| 18 | SZÓSTKA Paweł | 63 |
| 19 | VINOKUROV Nicolas | 65 |
| 21 | OTTEMA Rick | 77 |
| 22 | VAN EETVELT Lennert | 63 |