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 + 91
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Martin | 70 |
| 3 | VELITS Peter | 63 |
| 7 | AAEN JØRGENSEN Jonas | 63 |
| 10 | LANGEVELD Sebastian | 67 |
| 16 | BELLETTI Manuel | 72 |
| 19 | BOLE Grega | 69 |
| 20 | BIESEK Szymon | 66 |
| 22 | WYSS Marcel | 63 |
| 28 | CAPECCHI Eros | 65 |
| 29 | GESINK Robert | 70 |
| 31 | CIEŚLIK Paweł | 65 |
| 34 | GRAF Andreas | 72 |
| 44 | HOLLENSTEIN Reto | 80 |
| 46 | RUIJGH Rob | 64 |
| 63 | HRISTOV Stefan Koychev | 57 |
| 73 | PÖLL Stefan | 60 |