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 = 0.2 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JURČO Matej | 69 |
| 5 | CABELLO Antonio | 67 |
| 6 | PERGET Mathieu | 64 |
| 7 | KOMAR Mateusz | 73 |
| 9 | ÖRKEN Ahmet | 69 |
| 10 | MAHĎAR Martin | 61 |
| 12 | HADDI Soufiane | 63 |
| 13 | MIZUROV Andrey | 68 |
| 14 | JELLOUL Adil | 58 |
| 15 | BRONIŠ Roman | 74 |
| 17 | ČANECKÝ Marek | 72 |
| 18 | ORR Robert | 74 |
| 19 | KOLÁŘ Michael | 90 |
| 20 | RUÍZ Eloy | 66 |
| 24 | KERBY Jordan | 71 |
| 33 | AÏT EL ABDIA Anass | 66 |
| 35 | CANTERO Francisco Javier | 68 |