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 = -0.5 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAPECCHI Eros | 65 |
| 3 | BOLE Grega | 69 |
| 4 | LANGEVELD Sebastian | 67 |
| 5 | BELLETTI Manuel | 72 |
| 9 | VELITS Peter | 63 |
| 13 | VELITS Martin | 70 |
| 16 | FINETTO Mauro | 62 |
| 26 | CIEŚLIK Paweł | 65 |
| 29 | GRAF Andreas | 72 |
| 31 | RUIJGH Rob | 64 |
| 33 | BIESEK Szymon | 66 |
| 40 | WYSS Marcel | 63 |
| 51 | GESINK Robert | 70 |
| 63 | AAEN JØRGENSEN Jonas | 63 |
| 68 | HRISTOV Stefan Koychev | 57 |
| 82 | HOLLENSTEIN Reto | 80 |
| 92 | PÖLL Stefan | 60 |