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 + 39
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EIBEGGER Markus | 68 |
| 2 | SCHOFFMANN Martin | 67 |
| 3 | EISEL Bernhard | 74 |
| 8 | DENIFL Stefan | 65 |
| 9 | TRAMPUSCH Gerhard | 60 |
| 10 | KRIZEK Matthias | 74 |
| 15 | BRÄNDLE Matthias | 80 |
| 16 | BENETSEDER Josef | 65 |
| 20 | PÖLL Stefan | 60 |
| 26 | ZOIDL Riccardo | 63 |
| 28 | WROLICH Peter | 68 |
| 29 | SCHORN Daniel | 72 |
| 30 | PICHLER Michael | 70 |
| 36 | HRINKOW Dominik | 61 |
| 41 | HASELBACHER René | 69 |