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 = -2.4 * weight + 189
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 6 | PETTERSSON Gösta | 75 |
| 7 | DE VLAEMINCK Roger | 74 |
| 8 | GIMONDI Felice | 78 |
| 9 | LASA Miguel María | 68 |
| 11 | RITTER Ole | 74 |
| 16 | SWERTS Roger | 75 |
| 19 | PFENNINGER Louis | 70 |
| 38 | BALMAMION Franco | 67 |
| 41 | PETTERSSON Tomas | 69 |
| 49 | VIANELLI Pierfranco | 73 |