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 * weight + 95
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUGERLI Matej | 68 |
| 7 | SHUSHEMOIN Alexandr | 62 |
| 8 | SERGIS Kaspars | 75 |
| 10 | NECHITA Andrei | 71 |
| 11 | POZDNYAKOV Kirill | 67 |
| 12 | MANNINEN Matti | 70 |
| 22 | BAZHKOU Stanislau | 65 |
| 28 | RUMAC Josip | 71 |
| 34 | RAMANAU Raman | 68 |
| 40 | DIMA Emil | 73 |
| 45 | PAPOK Siarhei | 76 |
| 46 | CHOLAKOV Stanimir | 66 |
| 47 | HRINKOW Dominik | 61 |
| 48 | BENETSEDER Josef | 65 |
| 57 | PÖLL Stefan | 60 |