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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN PETEGEM Peter | 70 |
| 2 | BOMANS Carlo | 74 |
| 3 | PIZIKS Arvis | 70 |
| 8 | THIJS Erwin | 69 |
| 11 | PLANCKAERT Jo | 70 |
| 14 | HOFFMAN Tristan | 80 |
| 15 | VANSEVENANT Wim | 65 |
| 18 | VAN BONDT Geert | 71 |
| 19 | DE WILDE Etienne | 70 |
| 25 | FEYS Wim | 80 |
| 28 | VAN DER POEL Adrie | 70 |