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 = 0.9 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | KOHUT Sławomir | 65 |
| 7 | VELITS Martin | 70 |
| 9 | HOOGERLAND Johnny | 65 |
| 12 | KRUPA Dawid | 74 |
| 15 | CHMIELEWSKI Piotr | 72 |
| 16 | BÁRTA Jan | 75 |
| 23 | VELITS Peter | 63 |
| 25 | RABOŇ František | 74 |
| 36 | HRAZDIRA Michal | 77 |
| 41 | RIŠKA Martin | 73 |
| 51 | RETSCHKE Robert | 66 |
| 60 | BROŻYNA Tomasz | 65 |
| 61 | ABASS Mahmoud | 65 |
| 66 | CURVERS Roy | 73 |
| 81 | PRZYDZIAŁ Piotr | 80 |