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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LANG Sebastian | 77 |
| 3 | BAUMANN Eric | 72 |
| 4 | HERVÉ Cédric | 60 |
| 7 | DE FAUW Dimitri | 77 |
| 10 | SENTJENS Roy | 75 |
| 11 | KOPP David | 68 |
| 16 | DION Renaud | 65 |
| 17 | ELIJZEN Michiel | 80 |
| 18 | MUTSAARS Ronald | 67 |
| 19 | DE WEERT Kevin | 70 |