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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOIDL Riccardo | 63 |
| 2 | DENIFL Stefan | 65 |
| 4 | PREIDLER Georg | 68 |
| 5 | PÖSTLBERGER Lukas | 70 |
| 9 | BIEDERMANN Daniel | 67 |
| 10 | KRIZEK Matthias | 74 |
| 11 | MÜHLBERGER Gregor | 64 |
| 12 | SCHÖNBERGER Sebastian | 64 |
| 14 | LEHNER Daniel | 63 |
| 15 | HRINKOW Dominik | 61 |
| 18 | GOGL Michael | 71 |
| 20 | ZELLER Lukas | 72 |
| 22 | KONRAD Patrick | 64 |
| 24 | RABITSCH Stephan | 69 |
| 26 | PÖLL Stefan | 60 |