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 = -0.8 * weight + 83
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN STEENBERGEN Rik | 83 |
| 6 | DE CALUWÉ Edgard | 75 |
| 18 | MOERENHOUT Jef | 72 |
| 20 | LOWIE Jules | 68 |
| 21 | KINT Marcel | 74 |
| 27 | MEULENBERG Eloi | 73 |
| 30 | VLAEMYNCK Lucien | 63 |
| 55 | PIRMEZ Théo | 76 |