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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHYS Robbe | 72 |
| 2 | EVENEPOEL Remco | 61 |
| 3 | MARCHAND Gianni | 61 |
| 4 | PHILIPSEN Jasper | 75 |
| 5 | DE BUYST Jasper | 72 |
| 6 | AERTS Toon | 72 |
| 7 | SCHELLING Ide | 66 |
| 8 | VAN POPPEL Boy | 78 |
| 9 | COQUARD Bryan | 59 |
| 10 | EENKHOORN Pascal | 72 |