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 + 13
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | NOVAL Benjamín | 72 |
| 11 | JACKOWIAK Jan Michal | 65 |
| 20 | REITZ Braden | 57 |
| 25 | HINCAPIE Enzo | 68 |
| 26 | HUDSON Harry | 58 |
| 27 | PEACE Matthew | 63 |
| 33 | VASSAL Théophile | 65 |
| 39 | VERDONCK Thomas | 63 |
| 61 | D'HONDT Arne | 62 |
| 63 | DE GENDT Leander | 51 |
| 93 | HERRING Louis | 63 |
| 98 | TAMMEPUU Riko | 68 |
| 126 | HEWES Alex | 69 |