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 = 0.9 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VAN COUTER Stein | 65 |
| 5 | VERSTRAETEN Jari | 67 |
| 7 | MUSIE Saymon | 59 |
| 13 | CLAIN Médéric | 59 |
| 17 | AKANGA Abdou Raouf | 67 |
| 18 | NOBEL Rick | 78 |
| 41 | AMANUEL Meron | 63 |
| 44 | JANSEN Tom | 63 |
| 53 | VERDIJCK Niels | 79 |