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 = -1.2 * weight + 108
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DECLERCQ Tim | 78 |
| 2 | QUAADE Rasmus | 77 |
| 9 | VERMOTE Alphonse | 74 |
| 11 | STEELS Stijn | 78 |
| 13 | QUAST Ole | 67 |
| 15 | WIPPERT Wouter | 75 |
| 20 | ADAMS Joeri | 63 |
| 26 | MEISEN Marcel | 62 |
| 34 | HELVEN Sander | 74 |
| 55 | GMELICH MEIJLING Jarno | 77 |
| 61 | LAMMERTINK Maurits | 61 |