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 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | MUGERLI Matej | 68 |
6 | FORTIN Filippo | 78 |
7 | RAJOVIĆ Dušan | 74 |
8 | MALUCELLI Matteo | 68 |
9 | RAMANAU Raman | 68 |
10 | KVASINA Matija | 72 |
11 | MIHAYLOV Nikolay | 70 |
12 | PAPOK Siarhei | 76 |
14 | HRISTOV Stefan Koychev | 57 |
15 | ÖRKEN Ahmet | 69 |
16 | BALKAN Onur | 69 |
17 | TAMOURIDIS Ioannis | 70 |
18 | PACCHIARDO Davide | 60 |
19 | MALAGUTI Alessandro | 67 |
20 | BARAĆ Antonio | 73 |
23 | GAMPER Patrick | 80 |