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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIZZOLO Giacomo | 72 |
| 2 | ARANBURU Alex | 63 |
| 3 | GROSU Eduard-Michael | 68 |
| 4 | COSTA Rui | 69 |
| 5 | CHERNETSKI Sergei | 63 |
| 6 | SERRANO Gonzalo | 65 |
| 7 | MARTIN Guillaume | 55 |
| 8 | GAVAZZI Francesco | 65 |
| 9 | LIENHARD Fabian | 73 |
| 10 | RIABUSHENKO Alexandr | 61 |
| 11 | BETANCUR Carlos | 60 |
| 12 | GAUTIER Cyril | 65 |
| 13 | POLANC Jan | 62 |
| 14 | GHEBREIGZABHIER Amanuel | 68 |
| 15 | BOL Jetse | 71 |