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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÖSTLBERGER Lukas | 70 |
| 2 | BENETSEDER Josef | 65 |
| 3 | KRIZEK Matthias | 74 |
| 4 | RABITSCH Stephan | 69 |
| 9 | BRÄNDLE Matthias | 80 |
| 10 | EISEL Bernhard | 74 |
| 11 | ZOIDL Riccardo | 63 |
| 12 | SCHOFFMANN Martin | 67 |
| 15 | EIBEGGER Markus | 68 |
| 16 | KONRAD Patrick | 64 |
| 21 | PÖLL Stefan | 60 |
| 23 | HRINKOW Dominik | 61 |
| 25 | SCHORN Daniel | 72 |