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 + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Martin | 62 |
| 2 | LAGAB Azzedine | 63 |
| 4 | ZABALLA Constantino | 66 |
| 5 | SAYAR Mustafa | 64 |
| 8 | CHAABANE Hichem | 70 |
| 11 | CHTIOUI Rafaâ | 82 |
| 13 | BICHLMANN Daniel | 72 |
| 15 | SKUJIŅŠ Toms | 70 |
| 18 | JELLOUL Adil | 58 |
| 26 | DELACROIX Tristan | 59 |
| 34 | DE LA FUENTE David | 67 |
| 43 | KAL Miraç | 72 |
| 45 | BELGASEM Ahmed Youssef | 68 |