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 = 25.8 * weight - 999
This means that on average for every extra kilogram weight a rider loses 25.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VAN IMPE Lucien | 59 |
| 5 | RITTER Ole | 74 |
| 7 | POLLENTIER Michel | 62 |
| 990 | GIMONDI Felice | 78 |
| 990 | RODRÍGUEZ Martín Emilio | 70 |
| 990 | PETTERSSON Gösta | 75 |
| 990 | AJA Gonzalo | 66 |
| 990 | DIERICKX André | 74 |
| 990 | PFENNINGER Louis | 70 |
| 990 | MARTIN Raymond | 62 |
| 990 | GAVAZZI Pierino | 67 |
| 990 | DE BRAUWERE Lucien | 63 |
| 990 | SUTTER Ueli | 70 |
| 990 | HUBSCHMID Bruno | 74 |