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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDOUSSELAERE Sven | 71 |
| 2 | AAEN JØRGENSEN Jonas | 63 |
| 3 | FOFONOV Dmitriy | 65 |
| 5 | FORKE Sebastian | 78 |
| 6 | SCHETS Steve | 74 |
| 10 | PORSEV Alexander | 80 |
| 11 | IGLINSKIY Valentin | 68 |
| 20 | LAMOISSON Morgan | 69 |
| 22 | CASTROVIEJO Jonathan | 62 |
| 25 | BÄR Michael | 66 |
| 27 | SICARD Romain | 63 |
| 28 | MIRONOV Alexander | 68 |
| 40 | NERZ Dominik | 67 |
| 45 | GRUZDEV Dmitriy | 78 |