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 = -2.6 * weight + 192
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VILLUMSEN Linda | 59 |
| 2 | SLAPPENDEL Iris | 67 |
| 3 | GUNNEWIJK Loes | 67 |
| 5 | KOEDOODER Vera | 69 |
| 6 | WILD Kirsten | 75 |
| 8 | SANDIG Madeleine | 62 |
| 10 | VOS Marianne | 58 |
| 12 | BELTMAN Chantal | 68 |
| 18 | VAN DIJK Ellen | 71 |
| 30 | VISSER Adrie | 59 |
| 52 | DE VOCHT Liesbet | 61 |
| 61 | WYMAN Helen | 56 |
| 74 | HENRION Ludivine | 60 |
| 112 | SELS Loes | 62 |