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 = 0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠTYBAR Zdeněk | 68 |
| 2 | SINTSOV Anton | 62 |
| 3 | LEEZER Tom | 76 |
| 5 | REUS Kai | 70 |
| 8 | CHTIOUI Rafaâ | 82 |
| 9 | KOHLER Martin | 69 |
| 12 | ZEITS Andrey | 73 |
| 16 | STAMSNIJDER Tom | 76 |
| 18 | SCHÄR Michael | 78 |
| 21 | BOOM Lars | 75 |
| 25 | TIMMER Albert | 77 |
| 32 | WYSS Danilo | 65 |
| 33 | FRANK Mathias | 64 |
| 38 | WYSS Marcel | 63 |
| 39 | KOREN Kristijan | 72 |
| 56 | HOLLENSTEIN Reto | 80 |