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 = 1.6 * weight - 88
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | GIMONDI Felice | 78 |
| 6 | PETTERSSON Gösta | 75 |
| 8 | LASA Miguel María | 68 |
| 9 | RITTER Ole | 74 |
| 12 | BALMAMION Franco | 67 |
| 22 | VIANELLI Pierfranco | 73 |
| 28 | LASA José Manuel | 77 |
| 52 | PFENNINGER Louis | 70 |
| 53 | SWERTS Roger | 75 |
| 55 | GODEFROOT Walter | 73 |
| 77 | PETTERSSON Sture | 75 |
| 90 | SERCU Patrick | 76 |