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 = 2.1 * weight - 126
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAABANE Hichem | 70 |
| 2 | SAYAR Mustafa | 64 |
| 3 | DE LA PARTE Víctor | 64 |
| 4 | ZABALLA Constantino | 66 |
| 5 | SCHUMACHER Stefan | 71 |
| 8 | LAGAB Azzedine | 63 |
| 15 | SCHÄFER Timo | 66 |
| 16 | BOUGLAS Georgios | 71 |
| 18 | DE LA FUENTE David | 67 |
| 22 | BICHLMANN Daniel | 72 |
| 30 | SCHORMAIR Fabian | 64 |
| 32 | SKUJIŅŠ Toms | 70 |
| 38 | FURLAN Angelo | 72 |
| 45 | ORR Robert | 74 |