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 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SURAY Gil | 67 |
| 2 | STEURS Geert | 77 |
| 3 | JACOBS Pieter | 68 |
| 4 | DEVENYNS Dries | 65 |
| 5 | DE GREEF Francis | 77 |
| 10 | CORNU Dominique | 78 |
| 13 | VANDENBERGH Stijn | 86 |
| 15 | NEYENS Maarten | 74 |
| 19 | BAUGNIES Jérôme | 69 |
| 20 | MAES Nikolas | 78 |
| 24 | PAUWELS Kevin | 60 |
| 31 | CAPPELLE Dieter | 76 |