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 + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOSZ Patryk | 70 |
| 2 | BERNAS Paweł | 77 |
| 3 | HABERMANN Richard | 74 |
| 4 | PATERSKI Maciej | 73 |
| 5 | KRAWCZYK Szymon | 79 |
| 6 | BANASZEK Alan | 75 |
| 7 | LINDNER Tom | 71 |
| 8 | JÄGELER Robert | 71 |
| 9 | DUCKERT Roman | 68 |
| 10 | NOLDE Tobias | 79 |
| 11 | ASCHENBRENNER Michel | 70 |
| 12 | RUDYK Bartosz | 76 |
| 13 | BROŻYNA Piotr | 71 |
| 14 | TEMMEN Jan-Marc | 66 |