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 * weight + 95
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Martin | 70 |
| 2 | LANGEVELD Sebastian | 67 |
| 8 | VELITS Peter | 63 |
| 9 | BOLE Grega | 69 |
| 11 | CAPECCHI Eros | 65 |
| 17 | BELLETTI Manuel | 72 |
| 18 | WYSS Marcel | 63 |
| 21 | GESINK Robert | 70 |
| 25 | BIESEK Szymon | 66 |
| 30 | AAEN JØRGENSEN Jonas | 63 |
| 32 | CIEŚLIK Paweł | 65 |
| 33 | GRAF Andreas | 72 |
| 37 | RUIJGH Rob | 64 |
| 53 | HOLLENSTEIN Reto | 80 |
| 67 | HRISTOV Stefan Koychev | 57 |
| 76 | PÖLL Stefan | 60 |