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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELEMEN Petr | 70 |
| 5 | HABERMANN Richard | 74 |
| 6 | FETTER Erik | 70 |
| 8 | BOROŠ Michael | 69 |
| 10 | DE LANGE Thijs | 58 |
| 11 | PAULUS Milan | 62 |
| 13 | ŤOUPALÍK Jakub | 65 |
| 14 | VOISARD Yannis | 56 |
| 15 | VINOKUROV Nicolas | 65 |
| 16 | SZÓSTKA Paweł | 63 |
| 17 | OTTEMA Rick | 77 |