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 = 0.2 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUTENBERG Ina-Yoko | 64 |
| 2 | VOS Marianne | 58 |
| 3 | ARNDT Judith | 59 |
| 4 | GUNNEWIJK Loes | 67 |
| 5 | BECKER Charlotte | 64 |
| 15 | VAN VLEUTEN Annemiek | 59 |
| 16 | WILD Kirsten | 75 |
| 17 | BRAND Lucinda | 57 |
| 27 | KOEDOODER Vera | 69 |
| 35 | VISSER Adrie | 59 |
| 36 | SLAPPENDEL Iris | 67 |
| 37 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 47 | SCHLEICHER Regina | 58 |
| 48 | HATTELAND LIMA Tone | 65 |
| 52 | TENNIGLO Moniek | 64 |