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 = 1.8 * weight - 97
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AMANUEL Meron | 63 |
| 6 | CLAIN Médéric | 59 |
| 9 | VAN COUTER Stein | 65 |
| 11 | VERSTRAETEN Jari | 67 |
| 26 | MUSIE Saymon | 59 |
| 29 | JANSEN Tom | 63 |
| 31 | NOBEL Rick | 78 |
| 60 | AKANGA Abdou Raouf | 67 |
| 64 | VERDIJCK Niels | 79 |