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 + 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLIVAR Gal | 64 |
| 3 | PUTZ Sebastian | 62 |
| 4 | ANDREAUS Marco | 68 |
| 7 | PELLIZZARI Giulio | 66 |
| 10 | KRETSCHY Moritz | 63 |
| 11 | DE CASSAN Davide | 61 |
| 12 | BUSCHEK Paul | 67 |
| 13 | STEDMAN Travis | 63 |
| 14 | FRĄTCZAK Radosław | 70 |
| 17 | PORTSMOUTH Tom | 70 |
| 24 | ŘEHA Filip | 72 |
| 28 | INKSTER Eric | 73 |
| 32 | WALKER Zachary | 52 |
| 34 | JULIEN Matisse | 70 |
| 37 | DETALLE Noah | 63 |
| 39 | ROSNER Linus | 68 |