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 - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEELS Stijn | 78 |
| 2 | POZDNYAKOV Kirill | 67 |
| 4 | WALLAYS Jelle | 77 |
| 7 | DEBUSSCHERE Jens | 77 |
| 8 | VERHELST Louis | 71 |
| 14 | VANDYCK Niels | 64 |
| 15 | VERMOTE Alphonse | 74 |
| 16 | VEREECKEN Nicolas | 72 |
| 30 | WIPPERT Wouter | 75 |
| 33 | BOL Jetse | 71 |
| 34 | BEUKEBOOM Dion | 88 |