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 = 0.8 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORRIS Lachlan | 67 |
| 2 | YATES Adam | 58 |
| 3 | ALAPHILIPPE Julian | 62 |
| 4 | HANSEN Jesper | 60 |
| 5 | HIRT Jan | 62 |
| 7 | KRAGH ANDERSEN Søren | 73 |
| 8 | GUILLEMOIS Romain | 66 |
| 9 | ZOIDL Riccardo | 63 |
| 11 | PFINGSTEN Christoph | 69 |
| 14 | VAN ROOY Kenneth | 70 |
| 15 | VAKOČ Petr | 68 |
| 17 | STEENSEN André | 65 |
| 18 | VINTHER Troels Rønning | 68 |
| 19 | BIZHIGITOV Zhandos | 76 |