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 = -1.3 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 3 | GIMONDI Felice | 78 |
| 7 | BALMAMION Franco | 67 |
| 14 | PFENNINGER Louis | 70 |
| 21 | SCHUTZ Edy | 72 |
| 25 | SWERTS Roger | 75 |
| 49 | RITTER Ole | 74 |
| 50 | PEFFGEN Wilfried | 67 |