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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUGERLI Matej | 68 |
| 4 | FORTIN Filippo | 78 |
| 5 | RAJOVIĆ Dušan | 74 |
| 6 | RAMANAU Raman | 68 |
| 7 | KVASINA Matija | 72 |
| 8 | MALUCELLI Matteo | 68 |
| 9 | MIHAYLOV Nikolay | 70 |
| 10 | HRISTOV Stefan Koychev | 57 |
| 11 | ÖRKEN Ahmet | 69 |
| 12 | BALKAN Onur | 69 |
| 13 | TAMOURIDIS Ioannis | 70 |
| 14 | PACCHIARDO Davide | 60 |
| 15 | IVASHKIN Anton | 73 |
| 16 | MALAGUTI Alessandro | 67 |
| 17 | BARAĆ Antonio | 73 |
| 20 | PAPOK Siarhei | 76 |
| 22 | GAMPER Patrick | 80 |