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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERMELTFOORT Coen | 85 |
| 2 | PFINGSTEN Christoph | 69 |
| 3 | DUIJN Huub | 73 |
| 4 | BILLE Gaëtan | 67 |
| 5 | KIRSCH Alex | 78 |
| 6 | PARDINI Olivier | 68 |
| 10 | MILÁN Diego | 67 |
| 12 | LIENHARD Fabian | 73 |
| 14 | AMANUEL Meron | 63 |
| 15 | AAEN JØRGENSEN Jonas | 63 |
| 16 | ROBEET Ludovic | 75 |
| 21 | MERTZ Rémy | 70 |