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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KEIZER Martijn | 72 |
| 2 | BOL Jetse | 71 |
| 3 | VAN ZANDBEEK Ronan | 72 |
| 6 | VERMELTFOORT Coen | 85 |
| 7 | VAN POPPEL Boy | 78 |
| 9 | DE VRIES Berden | 70 |
| 11 | GMELICH MEIJLING Jarno | 77 |
| 27 | LIGTHART Pim | 72 |