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 = 1.2 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE LA PARTE Víctor | 64 |
| 2 | SAYAR Mustafa | 64 |
| 3 | SCHUMACHER Stefan | 71 |
| 4 | ZABALLA Constantino | 66 |
| 8 | JELLOUL Adil | 58 |
| 10 | CHAABANE Hichem | 70 |
| 11 | LAGAB Azzedine | 63 |
| 13 | AÏT EL ABDIA Anass | 66 |
| 18 | BOUGLAS Georgios | 71 |
| 26 | BICHLMANN Daniel | 72 |
| 28 | BĒCIS Armands | 82 |
| 29 | SCHÄFER Timo | 66 |
| 30 | HASNAOUI Maher | 80 |
| 38 | KAL Miraç | 72 |