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 = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 3 | GODEFROOT Walter | 73 |
| 4 | ROSIERS Roger | 78 |
| 5 | SERCU Patrick | 76 |
| 7 | JANSSEN Jan | 76 |
| 8 | MONSERÉ Jean-Pierre | 66 |
| 10 | GIMONDI Felice | 78 |
| 12 | DE VLAEMINCK Roger | 74 |
| 33 | PETTERSSON Gösta | 75 |
| 36 | SCHLECK Johny | 72 |