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 = -0.6 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REUS Kai | 70 |
| 2 | STAMSNIJDER Tom | 76 |
| 3 | BOOM Lars | 75 |
| 4 | CHTIOUI Rafaâ | 82 |
| 5 | ŠTYBAR Zdeněk | 68 |
| 6 | LEEZER Tom | 76 |
| 7 | TIMMER Albert | 77 |
| 17 | FRANK Mathias | 64 |
| 21 | KOREN Kristijan | 72 |
| 22 | SCHÄR Michael | 78 |
| 27 | WYSS Danilo | 65 |
| 31 | KOHLER Martin | 69 |
| 36 | SINTSOV Anton | 62 |
| 38 | WYSS Marcel | 63 |
| 52 | HOLLENSTEIN Reto | 80 |
| 62 | ZEITS Andrey | 73 |