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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUMPAROV Georgi | 75 |
| 3 | STOYNEV Emil | 95 |
| 4 | PETROV Yordan | 66 |
| 5 | PALASHEV Borislav | 67 |
| 6 | SYAROV Boris | 69 |
| 9 | DYANKOV Denis | 65 |
| 10 | KOLEV Yoan | 64 |
| 12 | ANGELOV Lachezar | 59 |
| 13 | GEORGIEV Stefan | 68 |
| 17 | HRISTOV Svetozar | 79 |
| 20 | HADZHISTOYANOV Borislav | 69 |