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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILD Kirsten | 75 |
| 2 | GARFOOT Katrin | 56 |
| 4 | HOSKING Chloe | 60 |
| 6 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 7 | OLDS Shelley | 54 |
| 8 | PIETERS Amy | 58 |
| 10 | KASPER Romy | 59 |
| 11 | GUARISCHI Barbara | 57 |
| 12 | VAN DIJK Ellen | 71 |
| 16 | ELVIN Gracie | 63 |
| 17 | LONGO BORGHINI Elisa | 59 |
| 21 | MUSTONEN Sara | 58 |