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 = 0.6 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PERGET Mathieu | 64 |
| 3 | MIZUROV Andrey | 68 |
| 5 | JURČO Matej | 69 |
| 6 | RUÍZ Eloy | 66 |
| 7 | JELLOUL Adil | 58 |
| 8 | MAHĎAR Martin | 61 |
| 13 | AÏT EL ABDIA Anass | 66 |
| 14 | CANTERO Francisco Javier | 68 |
| 17 | KOMAR Mateusz | 73 |
| 19 | ORR Robert | 74 |
| 20 | HADDI Soufiane | 63 |
| 24 | CABELLO Antonio | 67 |
| 28 | BRONIŠ Roman | 74 |
| 32 | KOLÁŘ Michael | 90 |
| 36 | ÖRKEN Ahmet | 69 |
| 39 | KERBY Jordan | 71 |
| 43 | JAWAD Mansoor | 58 |
| 60 | GREEN Siméon | 70 |