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 = -0.4 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURGHARDT Marcus | 75 |
| 2 | FOTHEN Thomas | 71 |
| 3 | PERGET Mathieu | 64 |
| 6 | WAGNER Robert | 75 |
| 14 | HONIG Reinier | 61 |
| 24 | DEKKER Thomas | 69 |
| 25 | HOOGERLAND Johnny | 65 |
| 26 | LÖFKVIST Thomas | 70 |
| 32 | SCHILLINGER Andreas | 72 |
| 40 | RUSS Matthias | 62 |
| 51 | MAZUR Peter | 73 |