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 = 2.4 * weight - 112
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | NOVAL Benjamín | 72 |
| 7 | JACKOWIAK Jan Michal | 65 |
| 11 | PEACE Matthew | 63 |
| 12 | HUDSON Harry | 58 |
| 16 | VERDONCK Thomas | 63 |
| 19 | REITZ Braden | 57 |
| 29 | DE GENDT Leander | 51 |
| 32 | D'HONDT Arne | 62 |
| 34 | VASSAL Théophile | 65 |
| 35 | HINCAPIE Enzo | 68 |
| 84 | HERRING Louis | 63 |
| 103 | TAMMEPUU Riko | 68 |
| 145 | HEWES Alex | 69 |