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 = -1.6 * weight + 154
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BARRY Ashlin | 77 |
| 5 | JACKOWIAK Jan Michal | 65 |
| 22 | ROONI Ron | 72 |
| 24 | NOVAL Benjamín | 72 |
| 25 | TAMMEPUU Riko | 68 |
| 27 | MARTINET Valentin | 66 |
| 32 | KLEIBRANT Wilmer | 61 |
| 48 | BOUCHER Hugo | 67 |
| 64 | BENNETZEN Lucca | 72 |
| 72 | CUBILLAS Javier | 62 |
| 78 | SCHWARTZ Simon | 69 |
| 79 | ATKINS Leon | 68 |
| 95 | HINCAPIE Enzo | 68 |