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 = 1.2 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GIMONDI Felice | 78 |
| 4 | DE VLAEMINCK Roger | 74 |
| 7 | RICCOMI Walter | 66 |
| 8 | CONTI Tino | 79 |
| 9 | LASA Miguel María | 68 |
| 10 | BARONCHELLI Gianbattista | 72 |
| 19 | PFENNINGER Louis | 70 |
| 33 | RODRÍGUEZ Martín Emilio | 70 |
| 42 | KNUDSEN Knut | 79 |
| 52 | GAVAZZI Pierino | 67 |
| 58 | ELORRIAGA Javier Francisco | 85 |
| 67 | SERCU Patrick | 76 |