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 = 1.4 * weight - 80
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARCZYŃSKI Tomasz | 70 |
| 2 | HRISTOV Stefan Koychev | 57 |
| 4 | BALKAN Onur | 69 |
| 5 | BALKAN Serkan | 64 |
| 8 | KÜÇÜKBAY Kemal | 70 |
| 11 | KASA Gabor | 72 |
| 21 | CHOLAKOV Stanimir | 66 |
| 28 | CHIșINăU Carțin Victor | 70 |
| 32 | ÖRKEN Ahmet | 69 |
| 40 | SAMLI Feritcan | 75 |
| 41 | GULCAN Ali | 68 |