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 = -0.8 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANSUMMEREN Johan | 79 |
| 2 | STEEGMANS Gert | 82 |
| 3 | COUTOULY Cédric | 72 |
| 4 | ELIJZEN Michiel | 80 |
| 5 | DE WEERT Kevin | 70 |
| 7 | MERTENS Pieter | 67 |
| 8 | GILBERT Philippe | 75 |
| 9 | DE VOCHT Wim | 78 |
| 10 | DOCKX Bart | 64 |
| 11 | VAN HECKE Preben | 69 |
| 13 | SPRICK Matthieu | 71 |
| 16 | PAUWELS Serge | 65 |
| 30 | RENDERS Sven | 63 |