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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEIJERS Daan | 70 |
| 4 | WALSCHEID Max | 90 |
| 5 | WILLWOHL Willi | 67 |
| 8 | LAMMERTINK Steven | 68 |
| 10 | DE GREEF Robbert | 65 |
| 17 | WERDA Maximilian | 66 |
| 19 | STOSZ Patryk | 70 |
| 20 | TOLHOEK Antwan | 61 |
| 21 | NORMAN LETH Lasse | 75 |
| 22 | ROOSEN Timo | 78 |