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 + 179
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 | MOSER Francesco | 79 |
| 3 | GIMONDI Felice | 78 |
| 4 | BARONCHELLI Gianbattista | 72 |
| 5 | CONTI Tino | 79 |
| 9 | DE VLAEMINCK Roger | 74 |
| 10 | RODRÍGUEZ Martín Emilio | 70 |
| 18 | AJA Gonzalo | 66 |
| 21 | RICCOMI Walter | 66 |
| 34 | PETTERSSON Gösta | 75 |
| 50 | PFENNINGER Louis | 70 |
| 52 | KNUDSEN Knut | 79 |
| 62 | GILSON Roger | 70 |
| 78 | GAIDA Alfred | 65 |