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 + 51
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | CANTERO Francisco Javier | 68 |
2 | HADDI Soufiane | 63 |
3 | KOMAR Mateusz | 73 |
5 | KOLÁŘ Michael | 90 |
10 | ÖRKEN Ahmet | 69 |
14 | MIZUROV Andrey | 68 |
17 | JELLOUL Adil | 58 |
20 | AÏT EL ABDIA Anass | 66 |
29 | JAWAD Mansoor | 58 |
37 | ORR Robert | 74 |
38 | JURČO Matej | 69 |
41 | RUÍZ Eloy | 66 |
42 | PERGET Mathieu | 64 |
43 | CABELLO Antonio | 67 |
44 | MAHĎAR Martin | 61 |
49 | BRONIŠ Roman | 74 |
52 | KERBY Jordan | 71 |
54 | GREEN Siméon | 70 |