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 = -1.1 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHADWICK Glen Alan | 75 |
| 3 | VANTHOURENHOUT Sven | 65 |
| 4 | VEELERS Tom | 75 |
| 5 | PARDINI Olivier | 68 |
| 6 | NYS Sven | 73 |
| 7 | DE NEEF Steven | 75 |
| 9 | HOOGERLAND Johnny | 65 |
| 13 | VAN AVERMAET Greg | 74 |
| 15 | VANHEULE Bart | 76 |
| 33 | DE JONGE Maarten | 65 |
| 34 | AUGUSTYN John-Lee | 65 |