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 = 0.6 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROSSELER Sébastien | 78 |
| 3 | COUTOULY Cédric | 72 |
| 4 | MCCARTY Jonathan Patrick | 68 |
| 5 | NUYENS Nick | 68 |
| 6 | VAN DEN BROECK Jurgen | 69 |
| 10 | KOHL Bernhard | 61 |
| 11 | DE WEERT Kevin | 70 |
| 12 | GILBERT Philippe | 75 |
| 13 | VANSUMMEREN Johan | 79 |
| 16 | SIEBERG Marcel | 80 |
| 17 | VANDBORG Brian Bach | 75 |
| 19 | COYOT Arnaud | 76 |
| 20 | DE VOCHT Wim | 78 |
| 21 | BURGHARDT Marcus | 75 |
| 22 | POSTHUMA Joost | 76 |