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 = -1.1 * weight + 100
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MAGIERA Jan | 78 |
| 4 | SAIDKHUZHIN Gainan | 69 |
| 5 | HOJLUND Ole | 80 |
| 6 | HANUSIK Zygmunt | 74 |
| 10 | CZECHOWSKI Zenon | 75 |
| 11 | JASIŃSKI Kazimierz | 80 |
| 12 | BŁAWDZIN Andrzej | 69 |
| 14 | HOFFMANN Günter | 65 |
| 17 | KEGEL Marian | 72 |
| 25 | MILSETT Tore | 70 |
| 40 | MEGYERDI Antal | 65 |
| 42 | DUCHEMIN Marcel | 60 |
| 55 | JOLLY Brian | 76 |