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 = -0.6 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | D'HOORE Jolien | 63 |
| 2 | KOPECKY Lotte | 66 |
| 5 | ARYS Evelyn | 60 |
| 6 | DEMEY Valerie | 56 |
| 7 | CANT Sanne | 57 |
| 9 | SELS Loes | 65 |
| 14 | VAN LOY Ellen | 65 |
| 17 | VEKEMANS Anisha | 52 |
| 20 | DUYCK Ann-Sophie | 60 |
| 21 | POLSPOEL Maaike | 59 |
| 23 | HANNES Kaat | 51 |
| 24 | DRUYTS Kelly | 62 |
| 27 | MCNALLY - DE QUINT Pia | 56 |
| 32 | VANDENBULCKE Jesse | 60 |
| 40 | BECKERS Isabelle | 67 |
| 43 | DOCX Mieke | 52 |