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 |