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 = -1.1 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | D'HOORE Jolien | 63 |
| 2 | KOPECKY Lotte | 66 |
| 4 | DE VOCHT Liesbet | 61 |
| 6 | DRUYTS Kelly | 62 |
| 10 | CANT Sanne | 57 |
| 16 | DEMEY Valerie | 56 |
| 17 | HANNES Kaat | 51 |
| 19 | VAN LOY Ellen | 65 |
| 26 | POLSPOEL Maaike | 59 |
| 32 | SELS Loes | 65 |
| 33 | BECKERS Isabelle | 67 |
| 45 | DUYCK Ann-Sophie | 60 |
| 48 | VEKEMANS Anisha | 52 |
| 55 | MCNALLY - DE QUINT Pia | 56 |