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 + 18
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VAN COUTER Stein | 65 |
| 9 | CLAIN Médéric | 59 |
| 10 | NOBEL Rick | 78 |
| 30 | VERSTRAETEN Jari | 67 |
| 34 | MUSIE Saymon | 59 |
| 35 | AMANUEL Meron | 63 |
| 41 | AKANGA Abdou Raouf | 67 |
| 51 | VERDIJCK Niels | 79 |
| 61 | JANSEN Tom | 63 |