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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHOI Ki Ho | 59 |
| 2 | CHEUNG King Lok | 59 |
| 3 | HUCKER Robbie | 68 |
| 5 | MAIKIN Roman | 68 |
| 6 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 10 | STALLAERT Joeri | 72 |
| 13 | VASILYEV Maksym | 70 |
| 15 | PEREIRA Valter | 56 |
| 19 | ÖRKEN Ahmet | 69 |