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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PALASHEV Borislav | 67 |
| 2 | STOYNEV Emil | 95 |
| 3 | GROZEV Gabriel | 61 |
| 5 | PETROV Yordan | 66 |
| 6 | DYANKOV Nikolay | 61 |
| 8 | DYANKOV Denis | 65 |
| 10 | ANGELOV Lachezar | 59 |
| 14 | POPOV Vasil | 70 |
| 15 | LUMPAROV Georgi | 75 |
| 17 | HADZHISTOYANOV Borislav | 69 |
| 18 | HRISTOV Svetozar | 79 |
| 22 | GEORGIEV Nako | 73 |
| 23 | KOLEV Yoan | 64 |
| 27 | DOBREV Borislav | 77 |