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 + 88
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EIBEGGER Markus | 68 |
| 2 | RIŠKA Martin | 73 |
| 4 | HONCHAR Serhiy | 67 |
| 5 | KUSZTOR Péter | 61 |
| 6 | SCHORN Daniel | 72 |
| 11 | VAN HUFFEL Wim | 66 |
| 13 | BRÄNDLE Matthias | 80 |
| 15 | BÁRTA Jan | 75 |
| 18 | BOURGEOIS Guillaume | 61 |
| 20 | MUSIOL Daniel | 70 |
| 23 | MARIN Matej | 67 |
| 25 | PICHLER Michael | 70 |
| 40 | GYUROV Spas | 75 |
| 58 | ZOIDL Riccardo | 63 |
| 60 | PÖLL Stefan | 60 |