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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KENNAUGH Peter | 66 |
| 2 | CLARKE Simon | 63 |
| 4 | MARYCZ Jarosław | 69 |
| 5 | KOCHETKOV Pavel | 70 |
| 6 | DYACHENKO Alexandr | 65 |
| 9 | BRAMBILLA Gianluca | 57 |
| 10 | ARREDONDO Julián David | 58 |
| 13 | PAGANI Angelo | 68 |
| 15 | PONZI Simone | 63 |
| 16 | DOCKER Mitchell | 73 |
| 17 | PAVARIN Marcello | 68 |
| 19 | SWIFT Ben | 69 |