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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 3 | PEETERS Wilfried | 76 |
| 4 | THIJS Erwin | 69 |
| 6 | KOERTS Jans | 78 |
| 7 | MUSEEUW Johan | 71 |
| 8 | OMLOOP Geert | 78 |
| 9 | CHRISTENSEN Bekim Leif | 66 |
| 10 | VAN PETEGEM Peter | 70 |
| 11 | VIERHOUTEN Aart | 71 |
| 14 | CRETSKENS Wilfried | 75 |
| 18 | HOSTE Leif | 80 |
| 23 | DETILLOUX Christophe | 62 |
| 29 | GUYTON Scott | 74 |