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 + 63
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHEKIERE Justine | 52 |
| 4 | VANDENBULCKE Jesse | 60 |
| 8 | TAS Sandrine | 55 |
| 9 | DE WILDE Julie | 62 |
| 10 | PEETERS Jinse | 54 |
| 13 | CASTRIQUE Alana | 63 |
| 15 | SELS Loes | 65 |
| 16 | BASTIAENSSEN Fauve | 62 |
| 17 | KOPECKY Lotte | 66 |
| 32 | DEMEY Valerie | 56 |
| 40 | VERDONSCHOT Laura | 52 |
| 42 | TRUYEN Marthe | 55 |
| 44 | VAN DE VELDE Julie | 58 |
| 57 | FRANCK Alicia | 51 |
| 64 | DOCX Mieke | 52 |
| 89 | LACOMPTE Amber | 65 |