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 = 0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURGHARDT Marcus | 75 |
| 2 | PERGET Mathieu | 64 |
| 3 | MARTENS Paul | 69 |
| 4 | FOTHEN Thomas | 71 |
| 7 | MUSIOL Daniel | 70 |
| 19 | WAGNER Robert | 75 |
| 21 | HOOGERLAND Johnny | 65 |
| 28 | RUSS Matthias | 62 |
| 36 | LÖFKVIST Thomas | 70 |
| 49 | HONIG Reinier | 61 |
| 71 | MAZUR Peter | 73 |
| 72 | DEKKER Thomas | 69 |
| 78 | SCHILLINGER Andreas | 72 |