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 = -0.9 * weight + 98
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VELITS Martin | 70 |
| 4 | GESINK Robert | 70 |
| 9 | LANGEVELD Sebastian | 67 |
| 13 | CAPECCHI Eros | 65 |
| 14 | WYSS Marcel | 63 |
| 17 | BOLE Grega | 69 |
| 18 | VELITS Peter | 63 |
| 24 | BIESEK Szymon | 66 |
| 26 | RUIJGH Rob | 64 |
| 50 | HOLLENSTEIN Reto | 80 |
| 51 | AAEN JØRGENSEN Jonas | 63 |
| 55 | BELLETTI Manuel | 72 |
| 58 | CIEŚLIK Paweł | 65 |
| 65 | HRISTOV Stefan Koychev | 57 |
| 67 | GRAF Andreas | 72 |
| 70 | PÖLL Stefan | 60 |
| 89 | FINETTO Mauro | 62 |