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 + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VOCHT Liesbet | 61 |
| 2 | LAWS Sharon | 54 |
| 3 | LONGO BORGHINI Elisa | 59 |
| 4 | DEIGNAN Elizabeth | 57 |
| 5 | JOHANSSON Emma | 58 |
| 6 | ELVIN Gracie | 63 |
| 7 | DE VRIES Marijn | 62 |
| 13 | DRUYTS Kelly | 62 |
| 14 | MUSTONEN Sara | 58 |
| 16 | HANNES Kaat | 51 |
| 18 | MAJERUS Christine | 56 |
| 19 | POLSPOEL Maaike | 59 |
| 25 | CANT Sanne | 57 |
| 28 | PAWLOWSKA Katarzyna | 60 |
| 30 | DE BAAT Kim | 56 |
| 39 | BUJAK Eugenia | 63 |