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 + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AÏT EL ABDIA Anass | 66 |
| 2 | HADDI Soufiane | 63 |
| 3 | APARICIO Mario | 69 |
| 4 | ROUGIER-LAGANE Christopher | 69 |
| 5 | BUDYAK Anatoliy | 53 |
| 6 | ISHIGAMI Masahiro | 58 |
| 8 | MANIZABAYO Eric | 72 |
| 10 | QUARTUCCI Lorenzo | 64 |
| 11 | GLIVAR Gal | 62 |