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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VLIEK Mike | 67 |
| 5 | MARSMAN Tim | 75 |
| 6 | VAN DEN BROEK Frank | 70 |
| 7 | VAN SINTMAARTENSDIJK Roel | 77 |
| 9 | BOVEN Lars | 62 |
| 10 | VISSER Guillaume | 75 |
| 13 | VAN BEKKUM Darren | 62 |
| 15 | MAAS Marijn | 70 |
| 18 | ARTZ Huub | 71 |
| 20 | KROONEN Max | 79 |
| 27 | REINDERINK Joris | 59 |
| 30 | BRONSWIJK Mike | 60 |
| 31 | LUIJTEN Noel | 79 |