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 + 60
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGAN Peter | 78 |
| 5 | BENGSCH Robert | 85 |
| 6 | BODNAR Łukasz | 68 |
| 9 | KIENDYŚ Tomasz | 78 |
| 12 | KOHUT Sławomir | 65 |
| 13 | TYBOR Patrik | 72 |
| 14 | SELIG Rüdiger | 80 |
| 16 | STACHOWIAK Adam | 62 |
| 17 | PFINGSTEN Christoph | 69 |
| 19 | PODLASKI Michał | 68 |
| 23 | MAHĎAR Martin | 61 |
| 30 | CHARUCKI Paweł | 64 |
| 31 | SEUBERT Timon | 73 |