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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HIGUITA Sergio | 57 |
| 2 | PARET-PEINTRE Aurélien | 64 |
| 3 | ASGREEN Kasper | 75 |
| 4 | BOL Cees | 83 |
| 5 | SWIFT Connor | 75 |
| 6 | DÍAZ José Manuel | 64 |
| 7 | HAMILTON Chris | 70 |
| 8 | ALLEGAERT Piet | 70 |
| 9 | BARTHE Cyril | 70 |