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 = -0.4 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EECKHOUT Niko | 73 |
| 5 | GRABSCH Bert | 78 |
| 7 | OMLOOP Geert | 78 |
| 12 | DE CLERCQ Hans | 80 |
| 14 | LEUKEMANS Björn | 67 |
| 15 | STRAUSS Marcel | 69 |
| 16 | GUYTON Scott | 74 |
| 19 | KOERTS Jans | 78 |
| 20 | HAYMAN Mathew | 78 |
| 22 | PRONK Matthé | 73 |
| 25 | VAN DIJK Stefan | 74 |
| 26 | MIFUNE Masahiko | 70 |
| 27 | MÜLLER Martin | 79 |
| 30 | DE GROOTE Thierry | 71 |