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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRAGH ANDERSEN Søren | 73 |
| 2 | ÖRKEN Ahmet | 69 |
| 3 | JABRAYILOV Samir | 52 |
| 8 | CASTILLO Ulises Alfredo | 72 |
| 13 | RODRIGUES João | 60 |
| 20 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 21 | ŠIŠKEVIČIUS Paulius | 70 |
| 22 | SAMLI Feritcan | 75 |
| 30 | RAHBEK Mads | 66 |
| 32 | HISHINUMA Yukinori | 58 |