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 = -1.9 * weight + 140
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALLER Marco | 72 |
| 2 | KRIZEK Matthias | 74 |
| 3 | SCHORN Daniel | 72 |
| 4 | GOGL Michael | 71 |
| 5 | MÜHLBERGER Gregor | 64 |
| 6 | PÖSTLBERGER Lukas | 70 |
| 7 | GROßSCHARTNER Felix | 64 |
| 8 | PREIDLER Georg | 68 |
| 9 | KONRAD Patrick | 64 |
| 12 | ZOIDL Riccardo | 63 |
| 13 | RABITSCH Stephan | 69 |
| 18 | SCHLEMMER Lukas | 64 |
| 20 | UMHALLER Thomas | 64 |
| 29 | PÖLL Stefan | 60 |
| 30 | SCHÖNBERGER Sebastian | 64 |
| 38 | HAMMERSCHMID Marvin | 62 |