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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Mathieu | 75 |
| 2 | PEDERSEN Mads | 76 |
| 3 | VAN HOOYDONCK Nathan | 78 |
| 5 | PER David | 81 |
| 7 | BURTON Germain | 55 |
| 9 | ALLEGAERT Piet | 70 |
| 10 | STRAKHOV Dmitry | 70 |
| 11 | VIEL Mattia | 72 |
| 12 | PALUTA Michał | 65 |
| 14 | LIZDE Seid | 70 |
| 15 | WACHTER Alexander | 72 |