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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Mads | 76 |
| 3 | WACHTER Alexander | 72 |
| 4 | EG Niklas | 60 |
| 5 | GARCÍA CORTINA Iván | 77 |
| 6 | VAN DER POEL Mathieu | 75 |
| 7 | VAN GOMPEL Mathias | 70 |
| 8 | OOMEN Sam | 65 |
| 9 | VIEL Mattia | 72 |
| 10 | AASVOLD Kristian | 61 |