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 + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KRAGH ANDERSEN Asbjørn | 72 |
| 4 | VERSCHOOR Martijn | 74.5 |
| 5 | KOCJAN Jure | 72 |
| 8 | ROSSKOPF Joey | 74 |
| 10 | MEGÍAS Javier | 63 |
| 12 | PASSERON Aurélien | 73 |
| 13 | RATHE Jacob | 74 |
| 14 | VASILYEV Maksym | 70 |
| 15 | PLANET Charles | 71 |
| 17 | MANNION Gavin | 58 |