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 + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNAVEN Servais | 68 |
| 3 | DEN BAKKER Maarten | 71 |
| 5 | VAN BON Léon | 72 |
| 6 | VAN DER STEEN Niels | 70 |
| 8 | VOSKAMP Bart | 75 |
| 9 | DEKKER Erik | 66 |
| 10 | VAN HEESWIJK Max | 73 |
| 11 | HOFFMAN Tristan | 80 |
| 18 | NIJDAM Jelle | 70 |
| 20 | STAM Danny | 64 |
| 22 | VIERHOUTEN Aart | 71 |
| 24 | BOOGERD Michael | 62 |