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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 2 | MOSER Francesco | 79 |
| 3 | KNUDSEN Knut | 79 |
| 4 | MARCUSSEN Jørgen | 70 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 7 | VANDI Alfio | 64 |
| 8 | SUTTER Ueli | 70 |
| 10 | LASA Miguel María | 68 |
| 16 | JOHANSSON Bernt | 71 |
| 17 | VIEJO José Luis | 64 |
| 18 | DEMEYER Marc | 85 |
| 20 | GIMONDI Felice | 78 |
| 22 | ALGERI Vittorio | 68 |