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 = -2.1 * weight + 167
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | SWERTS Roger | 75 |
| 3 | DE VLAEMINCK Roger | 74 |
| 4 | GIMONDI Felice | 78 |
| 5 | RITTER Ole | 74 |
| 6 | PETTERSSON Gösta | 75 |
| 12 | PETTERSSON Tomas | 69 |
| 13 | PFENNINGER Louis | 70 |
| 19 | LASA Miguel María | 68 |
| 33 | BALMAMION Franco | 67 |
| 55 | VIANELLI Pierfranco | 73 |