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 + 79
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEN BAKKER Maarten | 71 |
| 2 | KNAVEN Servais | 68 |
| 4 | JONKER Patrick | 69 |
| 5 | KOERTS Jans | 78 |
| 6 | VOSKAMP Bart | 75 |
| 7 | MOERENHOUT Koos | 74 |
| 8 | LOTZ Marc | 76 |
| 10 | DE JONGH Steven | 76 |
| 11 | BOVEN Jan | 65 |
| 14 | VAN BON Léon | 72 |
| 18 | VAN DIJK Stefan | 74 |
| 19 | VAN HEESWIJK Max | 73 |
| 26 | DE GROOT Bram | 65 |
| 37 | PRONK Matthé | 73 |
| 43 | KROON Karsten | 67 |