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 + 92
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRIZEK Matthias | 74 |
| 2 | ZOIDL Riccardo | 63 |
| 4 | KONRAD Patrick | 64 |
| 5 | PREIDLER Georg | 68 |
| 9 | HALLER Marco | 72 |
| 11 | SCHOFFMANN Martin | 67 |
| 12 | SCHORN Daniel | 72 |
| 19 | EIBEGGER Markus | 68 |
| 22 | BENETSEDER Josef | 65 |
| 32 | RABITSCH Stephan | 69 |
| 36 | TRAMPUSCH Gerhard | 60 |
| 47 | GRAF Andreas | 72 |
| 48 | PÖSTLBERGER Lukas | 70 |
| 58 | PÖLL Stefan | 60 |