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 = 0.4 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | WROLICH Peter | 68 |
| 6 | KRIZEK Matthias | 74 |
| 8 | RABITSCH Stephan | 69 |
| 10 | HRINKOW Dominik | 61 |
| 13 | BENETSEDER Josef | 65 |
| 14 | SCHORN Daniel | 72 |
| 19 | TRAMPUSCH Gerhard | 60 |
| 26 | KONRAD Patrick | 64 |
| 41 | PREIDLER Georg | 68 |
| 47 | LUDESCHER Philipp | 72 |
| 48 | PÖLL Stefan | 60 |
| 49 | GRAF Andreas | 72 |
| 50 | PICHLER Michael | 70 |
| 54 | JENNEWEIN Sandro | 72 |
| 59 | HALLER Marco | 72 |
| 65 | ZOIDL Riccardo | 63 |