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 = 1.5 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REIMER Martin | 69 |
| 6 | SEREBRYAKOV Alexander | 70 |
| 21 | SEUBERT Timon | 73 |
| 24 | GALIMZYANOV Denis | 75 |
| 33 | FORKE Sebastian | 78 |
| 42 | KRIVTSOV Dmytro | 72 |
| 43 | SCHULTING Peter | 70 |
| 50 | STAUFF Andreas | 82 |
| 69 | PFINGSTEN Christoph | 69 |
| 71 | WALSLEBEN Philipp | 66 |
| 77 | JANORSCHKE Grischa | 78 |
| 95 | KLUGE Roger | 83 |
| 113 | WESTMATTELMANN Daniel | 75 |
| 121 | MØRKØV Michael | 71 |