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 = 1.2 * weight - 78
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Erik | 66 |
| 2 | KNAVEN Servais | 68 |
| 3 | DEN BAKKER Maarten | 71 |
| 8 | JONKER Patrick | 69 |
| 9 | VAN BON Léon | 72 |
| 10 | PRONK Matthé | 73 |
| 12 | CORDES Tom | 70 |
| 15 | KOERTS Jans | 78 |
| 17 | KROON Karsten | 67 |
| 24 | SCHEP Peter | 80 |
| 27 | MOERENHOUT Koos | 74 |