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 - 38
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDREEV Yordan | 63 |
| 2 | PETROV Yordan | 66 |
| 3 | DYANKOV Denis | 65 |
| 6 | PALASHEV Borislav | 67 |
| 8 | ANGELOV Lachezar | 59 |
| 10 | KOLEV Yoan | 64 |
| 12 | LUMPAROV Georgi | 75 |
| 13 | DYANKOV Nikolay | 61 |
| 14 | PANCHEV Georgi | 74 |
| 15 | POPOV Vasil | 70 |
| 15 | HRISTOV Svetozar | 79 |
| 15 | GEORGIEV Stefan | 68 |
| 25 | SYAROV Boris | 69 |
| 27 | DOBREV Borislav | 77 |