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 = -2.2 * weight + 206
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEREBRYAKOV Alexander | 70 |
| 3 | KRIVTSOV Dmytro | 72 |
| 7 | JANORSCHKE Grischa | 78 |
| 11 | GALIMZYANOV Denis | 75 |
| 13 | KLUGE Roger | 83 |
| 25 | REIMER Martin | 69 |
| 38 | STAUFF Andreas | 82 |
| 42 | SCHULTING Peter | 70 |
| 52 | FORKE Sebastian | 78 |
| 64 | WESTMATTELMANN Daniel | 75 |
| 87 | PFINGSTEN Christoph | 69 |
| 89 | SEUBERT Timon | 73 |
| 90 | WALSLEBEN Philipp | 66 |