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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAKOBSEN Fabio | 78 |
| 2 | MERLIER Tim | 76 |
| 3 | TAMINIAUX Lionel | 74 |
| 4 | EVENEPOEL Remco | 61 |
| 5 | VAN SCHIP Jan-Willem | 84 |
| 6 | PHILIPSEN Jasper | 75 |
| 7 | VAN ASBROECK Tom | 72 |
| 8 | MARTINELLI Davide | 71 |
| 9 | JANS Roy | 68 |
| 10 | SOETE Daan | 72 |
| 11 | KIRSCH Alex | 78 |
| 12 | COQUARD Bryan | 59 |
| 13 | MARIT Arne | 72 |
| 14 | SERRY Pieter | 66 |
| 15 | BARBIER Rudy | 79 |