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 = 0.9 * weight - 47
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KADLEC Milan | 70 |
| 4 | KNEES Christian | 81 |
| 5 | PFANNBERGER Christian | 63 |
| 9 | GERDEMANN Linus | 71 |
| 14 | VELITS Peter | 63 |
| 15 | RIŠKA Martin | 73 |
| 18 | SCHRÖDER Björn | 64 |
| 31 | VALACH Ján | 75 |
| 33 | VELITS Martin | 70 |
| 34 | BENČÍK Petr | 73 |
| 35 | HRAZDIRA Michal | 77 |
| 45 | MÜLLER Martin | 79 |