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 = -1.5 * weight + 125
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOSER Francesco | 79 |
| 3 | GAVAZZI Pierino | 67 |
| 5 | DE VLAEMINCK Roger | 74 |
| 8 | GIMONDI Felice | 78 |
| 9 | CONTI Tino | 79 |
| 11 | BARONCHELLI Gianbattista | 72 |
| 12 | RICCOMI Walter | 66 |
| 15 | MARCUSSEN Jørgen | 70 |
| 25 | SUTTER Ueli | 70 |
| 36 | LASA Miguel María | 68 |
| 38 | PARECCHINI Aldo | 71 |
| 40 | BIDDLE Bruce | 64 |