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 = 0.7 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FIRSANOV Sergey | 58 |
| 3 | PETROV Danail Andonov | 63 |
| 4 | PETROV Daniel Bogomilov | 66 |
| 6 | HRISTOV Stefan Koychev | 57 |
| 9 | ROMANIK Radosław | 62 |
| 18 | GARRIDO Martin Gerardo | 70 |
| 19 | GERGANOV Evgeni | 60 |
| 20 | SARAMOTINS Aleksejs | 75 |