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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HADDI Soufiane | 63 |
| 3 | ÖRKEN Ahmet | 69 |
| 4 | KOMAR Mateusz | 73 |
| 6 | JURČO Matej | 69 |
| 10 | BRONIŠ Roman | 74 |
| 11 | CANTERO Francisco Javier | 68 |
| 13 | CABELLO Antonio | 67 |
| 14 | KOLÁŘ Michael | 90 |
| 15 | PERGET Mathieu | 64 |
| 18 | MIZUROV Andrey | 68 |
| 19 | JELLOUL Adil | 58 |
| 22 | ORR Robert | 74 |
| 23 | RUÍZ Eloy | 66 |
| 26 | KERBY Jordan | 71 |
| 35 | AÏT EL ABDIA Anass | 66 |