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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAJEK Alexander | 55 |
| 2 | KERSCHBAUMER Leo | 68 |
| 3 | KÄRSTEN Moritz | 75 |
| 4 | HERZOG Emil | 74 |
| 5 | SEGAERT Alec | 79 |
| 7 | DEL GROSSO Tibor | 70 |
| 8 | GAJDULEWICZ Mateusz | 67 |
| 10 | KRAMER Jesse | 74 |
| 12 | SIVOK Tomáš | 53 |
| 13 | HANNES Victor | 62 |
| 16 | VERVENNE Jonathan | 72 |
| 18 | HARASIM Mihnea-Alexandru | 72 |
| 20 | PETERS Marvin | 75 |
| 21 | DE MOYER Kenay | 69 |
| 22 | KOCKELMANN Mathieu | 70 |
| 23 | WANG Gustav | 70 |
| 24 | TAMM Lauri | 73 |