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 = -0.6 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAMPERS Jean-Marie | 82 |
| 2 | HOSTE Frank | 76 |
| 4 | VANDERAERDEN Eric | 74 |
| 5 | VEENSTRA Wiebren | 70 |
| 6 | VAN DER POEL Adrie | 70 |
| 9 | DE WILDE Etienne | 70 |
| 11 | PLANCKAERT Eddy | 69 |
| 17 | CORDES Tom | 70 |
| 21 | PEETERS Wilfried | 76 |
| 32 | HARMELING Rob | 76 |
| 42 | NIJDAM Jelle | 70 |