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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ACKERMANN Pascal | 78 |
| 2 | NARVÁEZ Jhonatan | 65 |
| 3 | RITZINGER Felix | 80 |
| 4 | HEIDUK Kim | 70 |
| 5 | HORVAT Žiga | 70 |
| 6 | VERMEERSCH Gianni | 68 |
| 7 | ENGELHARDT Felix | 68 |
| 8 | VAN DER LIJKE Nick | 61 |
| 9 | MEURISSE Xandro | 71 |
| 10 | RÜEGG Lukas | 66 |
| 11 | BAYER Tobias | 71 |
| 12 | NEUMAN Dominik | 72 |
| 13 | WILK Luke | 72 |
| 14 | KÆMPE Stinus Bjerring | 59 |