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 = -0.3 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOMMEL Henning | 75 |
| 2 | JANORSCHKE Grischa | 78 |
| 3 | RASMUSSEN Alex | 88 |
| 4 | SWIFT Ben | 69 |
| 5 | LOBATO Juan José | 64 |
| 6 | MALORI Adriano | 68 |
| 7 | CIOLEK Gerald | 75 |
| 9 | CIMOLAI Davide | 70 |
| 10 | REIMER Martin | 69 |
| 11 | MEGÍAS Javier | 63 |