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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEITÃO Iúri | 65 |
| 2 | GATE Aaron | 71 |
| 3 | OTRUBA Jakub | 75 |
| 4 | RITZINGER Felix | 80 |
| 7 | MILTIADIS Andreas | 74 |
| 8 | KUBIŠ Lukáš | 70 |
| 9 | JACKSON George | 75 |
| 10 | DIRNBAUER Josef | 67 |
| 12 | BOROŠ Michael | 69 |
| 13 | ZOIDL Riccardo | 63 |