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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LISABETH Kenny | 75 |
| 2 | BARBÉ Koen | 75 |
| 3 | VAN DEN BROECK Jurgen | 69 |
| 8 | DE SCHROODER Benny | 61 |
| 10 | VEELERS Tom | 75 |
| 11 | DOCKX Bart | 64 |
| 12 | RENDERS Sven | 63 |
| 13 | MERTENS Pieter | 67 |
| 21 | HEGREBERG Morten | 72 |
| 22 | ZONNEVELD Thijs | 63 |
| 24 | STEURS Geert | 77 |
| 28 | HOVELIJNCK Kurt | 75 |
| 29 | HEIJBOER Mathieu | 78 |
| 31 | MOL Wouter | 83 |
| 36 | MCCARTY Jonathan Patrick | 68 |