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 + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BUXHOFER Matthias | 70 |
| 6 | CAPELLE Ludovic | 75 |
| 7 | WROLICH Peter | 68 |
| 8 | VERSTREPEN Johan | 66 |
| 11 | OMLOOP Geert | 78 |
| 13 | DE CLERCQ Hans | 80 |
| 15 | CRETSKENS Wilfried | 75 |
| 17 | HØJ Frank | 80 |
| 19 | MÜHLBACHER Thomas | 68 |
| 22 | MIKHAYLOV Gennady | 74 |
| 24 | VAN DE WALLE Jurgen | 74 |
| 28 | MEIRHAEGHE Filip | 70 |
| 30 | DE CLERCQ Mario | 66 |