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 = 1.1 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | KLUGE Roger | 83 |
| 13 | PFINGSTEN Christoph | 69 |
| 18 | KIŠERLOVSKI Robert | 72 |
| 21 | VOß Paul | 66 |
| 24 | KVIST Thomas Vedel | 68 |
| 29 | ĐURASEK Kristijan | 56 |
| 47 | JANORSCHKE Grischa | 78 |
| 54 | KLEMME Dominic | 72 |
| 58 | KRUOPIS Aidis | 80 |
| 81 | STAUFF Andreas | 82 |