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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIHAYLOV Nikolay | 70 |
| 2 | HRISTOV Stefan Koychev | 57 |
| 4 | CHOLAKOV Stanimir | 66 |
| 5 | GERGANOV Evgeni | 60 |
| 8 | GEORGIEV Nako | 73 |
| 9 | FURLANSKI Velizar | 63 |
| 11 | ANDREEV Yordan | 63 |
| 15 | SUCHEV Mario | 68 |