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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | OLDS Shelley | 54 |
| 3 | DEIGNAN Elizabeth | 57 |
| 4 | VAN DIJK Ellen | 71 |
| 5 | HOSKING Chloe | 60 |
| 7 | MOBERG Emilie | 56 |
| 8 | CONFALONIERI Maria Giulia | 56 |
| 11 | HOSKINS Melissa | 64 |
| 12 | KOEDOODER Vera | 69 |
| 13 | ARYS Evelyn | 60 |
| 14 | VAN VLEUTEN Annemiek | 59 |
| 16 | DE VOCHT Liesbet | 61 |
| 17 | STULTIENS Sabrina | 58 |
| 18 | PIETERS Amy | 58 |
| 20 | GUNNEWIJK Loes | 67 |
| 21 | ELVIN Gracie | 63 |