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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KULSET Johannes | 58 |
| 3 | RICCITELLO Matthew | 55 |
| 4 | PICKERING Finlay | 55 |
| 5 | STEINHAUSER Georg | 65 |
| 6 | ZAMBANINI Edoardo | 62 |
| 7 | PELLIZZARI Giulio | 66 |
| 9 | LIPOWITZ Florian | 68 |
| 10 | PARET-PEINTRE Valentin | 52 |
| 11 | FRIGO Marco | 70 |
| 12 | TERCERO Fernando | 65 |
| 13 | MILESI Lorenzo | 70 |
| 14 | VACEK Karel | 60 |
| 15 | KULSET Magnus | 58 |
| 16 | HAJEK Alexander | 55 |