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 = -1.3 * weight + 128
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HAMMOND Roger | 71 |
| 12 | AUG Andrus | 83 |
| 13 | GUYTON Scott | 74 |
| 14 | MIFUNE Masahiko | 70 |
| 15 | CORDES Tom | 70 |
| 16 | MOURIS Jens | 91 |
| 19 | LAUK Andres | 77 |
| 21 | DE GROOTE Thierry | 71 |
| 30 | ZONNEVELD Thijs | 63 |
| 32 | SCHEIRLINCKX Staf | 78 |
| 88 | CARLSTRÖM Kjell | 70 |
| 95 | ZABRISKIE David | 67 |
| 108 | DE NEEF Steven | 75 |