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 = -0.8 * weight + 80
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REUS Kai | 70 |
| 4 | STAMSNIJDER Tom | 76 |
| 5 | CHTIOUI Rafaâ | 82 |
| 7 | TIMMER Albert | 77 |
| 8 | ŠTYBAR Zdeněk | 68 |
| 9 | SCHÄR Michael | 78 |
| 10 | FRANK Mathias | 64 |
| 11 | ZEITS Andrey | 73 |
| 13 | BOOM Lars | 75 |
| 14 | SINTSOV Anton | 62 |
| 34 | HOLLENSTEIN Reto | 80 |
| 42 | LEEZER Tom | 76 |
| 43 | WYSS Danilo | 65 |
| 47 | WYSS Marcel | 63 |
| 59 | KOHLER Martin | 69 |
| 69 | KOREN Kristijan | 72 |