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 = -0.5 * weight + 92
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VASSAL Théophile | 65 |
| 10 | REITZ Braden | 57 |
| 16 | NOVAL Benjamín | 72 |
| 17 | DE GENDT Leander | 51 |
| 28 | VERDONCK Thomas | 63 |
| 31 | JACKOWIAK Jan Michal | 65 |
| 38 | HINCAPIE Enzo | 68 |
| 46 | PEACE Matthew | 63 |
| 61 | HUDSON Harry | 58 |
| 62 | D'HONDT Arne | 62 |
| 90 | TAMMEPUU Riko | 68 |
| 122 | HERRING Louis | 63 |
| 131 | LINSER Ivan | 56.7 |
| 134 | HERNANDEZ Jan | 54 |
| 156 | HEWES Alex | 69 |