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:
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | GLIVAR Gal | 64 |
4 | ANDREAUS Marco | 68 |
6 | PELLIZZARI Giulio | 66 |
7 | PUTZ Sebastian | 62 |
10 | DE CASSAN Davide | 61 |
11 | FRĄTCZAK Radosław | 70 |
13 | STEDMAN Travis | 63 |
14 | ZERAY Nahom | 57 |
15 | KRETSCHY Moritz | 63 |
23 | PORTSMOUTH Tom | 70 |
24 | WALKER Zachary | 52 |
27 | JULIEN Matisse | 70 |
31 | PŘIDAL Tomáš | 66 |
32 | MRÁZ Daniel | 66 |
33 | ROSNER Linus | 68 |