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 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BURGAUDEAU Mathieu | 61 |
| 3 | MENTEN Milan | 68 |
| 4 | ROMELE Alessandro | 71 |
| 5 | GABBURO Davide | 63 |
| 7 | DARDER Sergi | 67 |
| 8 | KACZMAREK Jakub | 66 |
| 9 | MARCHAND Gianni | 61 |
| 10 | FINKŠT Tilen | 70 |
| 11 | QUARTUCCI Lorenzo | 64 |
| 12 | BUDZIŃSKI Marcin | 70 |
| 15 | OZKALBIM Kaan | 63 |
| 16 | SLOCK Liam | 78 |
| 17 | SIMON Julien | 65 |
| 18 | ZANONCELLO Enrico | 64 |
| 20 | PRONSKIY Vadim | 58 |
| 21 | ARIÑO Gonzalo | 67 |