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 = -0.9 * weight + 105
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VOCHT Wim | 78 |
| 2 | NEIRYNCK Kevin | 71 |
| 4 | GILBERT Philippe | 75 |
| 5 | HABEAUX Grégory | 68 |
| 20 | VAN HECKE Preben | 69 |
| 27 | KEISSE Iljo | 72 |
| 39 | GROSDENT William | 74 |
| 46 | SCHMETS David | 85 |
| 50 | VANTORNOUT Klaas | 69 |
| 81 | PAUWELS Serge | 65 |
| 83 | CAPPELLE Dieter | 76 |
| 91 | WYNANTS Maarten | 74 |
| 102 | VAN DEN BROECK Jurgen | 69 |