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 + 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLEMMER Lukas | 64 |
| 2 | BAZHKOU Stanislau | 65 |
| 3 | SHUSHEMOIN Alexandr | 62 |
| 4 | POZDNYAKOV Kirill | 67 |
| 6 | RAMANAU Raman | 68 |
| 11 | MUGERLI Matej | 68 |
| 12 | BENETSEDER Josef | 65 |
| 21 | CHOLAKOV Stanimir | 66 |
| 23 | HRINKOW Dominik | 61 |
| 28 | DIMA Emil | 73 |
| 31 | HAMMERSCHMID Marvin | 62 |
| 32 | FERRETTI Matteo | 55 |
| 34 | NECHITA Andrei | 71 |
| 35 | MANNINEN Matti | 70 |