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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIJMENS Nico | 69 |
| 2 | PICHON Mickaël | 62 |
| 3 | ESTADIEU Laurent | 67 |
| 5 | POLLACK Olaf | 77 |
| 7 | FÉDRIGO Pierrick | 66 |
| 12 | LEUKEMANS Björn | 67 |
| 15 | SCHEIRLINCKX Staf | 78 |
| 18 | VAN DE WALLE Jurgen | 74 |
| 19 | EDALEINE Christophe | 62 |
| 22 | THIJS Erwin | 69 |
| 23 | SCHOLZ Ronny | 60 |
| 27 | SCANLON Mark | 79 |
| 29 | MÄNDOJA Innar | 69 |