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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUNT Jeremy | 76 |
| 2 | IGNATIEV Mikhail | 67 |
| 3 | SCHEIRLINCKX Staf | 78 |
| 4 | D'HOLLANDER Glenn | 74 |
| 5 | TEN DAM Laurens | 67 |
| 6 | PAURIOL Rémi | 68 |
| 7 | ROLLAND Pierre | 70 |
| 8 | RENDERS Sven | 63 |
| 9 | HAMMOND Roger | 71 |
| 10 | MERTENS Pieter | 67 |
| 11 | KUYCKX Jan | 68 |
| 12 | CLEMENT Stef | 66 |
| 13 | DRUJON Mathieu | 75 |
| 14 | DUPONT Hubert | 57 |
| 15 | MOREAU Christophe | 71 |
| 16 | ELIJZEN Michiel | 80 |