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 * weight + 23
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAVARRO Gauthier | 60 |
| 3 | RODRÍGUEZ Carlos | 67 |
| 5 | MAINGUENAUD Tom | 63 |
| 6 | BENECH Pierre | 65 |
| 11 | HESSMANN Michel | 78 |
| 14 | JOLLY Maxime | 70 |
| 17 | FEDOROV Yevgeniy | 80 |
| 19 | RETAILLEAU Valentin | 64 |
| 23 | GONÇALVES Hélder | 55 |
| 26 | KNECHT Noah | 66 |
| 33 | NURLYKHASSYM Nurbergen | 65 |
| 39 | MESSERSCHMIDT Jonas Fabian | 68 |
| 51 | BARRÉ Louis | 68 |
| 60 | ROSAL Juanjo | 70 |
| 74 | BRUSSENSKIY Gleb | 64 |