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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | STAUFF Andreas | 82 |
| 6 | SCHETS Steve | 74 |
| 8 | PFINGSTEN Christoph | 69 |
| 9 | PARDINI Olivier | 68 |
| 10 | KOHLER Martin | 69 |
| 11 | MARTIN Tony | 75 |
| 13 | KLUGE Roger | 83 |
| 14 | WYSS Danilo | 65 |
| 16 | FRÖHLINGER Johannes | 62 |
| 17 | FREI Thomas | 71 |
| 19 | SCHÄR Michael | 78 |