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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GALLOPIN Tony | 69 |
| 2 | DELAPLACE Anthony | 65 |
| 3 | DEGENKOLB John | 82 |
| 4 | JUUL-JENSEN Christopher | 73 |
| 6 | VAN HOECKE Gijs | 78 |
| 7 | DECLERCQ Tim | 78 |
| 8 | JARC Blaž | 87 |
| 9 | GARCÍA Ricardo | 68 |
| 10 | SCHWARZMANN Michael | 69 |