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 = -0.7 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | DE VLAEMINCK Roger | 74 |
| 3 | VANDI Alfio | 64 |
| 6 | GIMONDI Felice | 78 |
| 11 | ALGERI Vittorio | 68 |
| 13 | CONTI Tino | 79 |
| 18 | RICCOMI Walter | 66 |
| 20 | BARONCHELLI Gianbattista | 72 |
| 23 | GAVAZZI Pierino | 67 |
| 25 | MARCUSSEN Jørgen | 70 |
| 30 | SUTTER Ueli | 70 |
| 44 | JOHANSSON Bernt | 71 |