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 = -56.6 * weight + 4410
This means that on average for every extra kilogram weight a rider loses -56.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLERC Aurélien | 71 |
| 8 | SIEDLER Sebastian | 75 |
| 12 | MARIN Matej | 67 |
| 16 | MAHORIČ Mitja | 68 |
| 20 | BOŽIČ Borut | 70 |
| 25 | GAZVODA Gregor | 72 |
| 990 | SINKEWITZ Patrik | 63 |
| 990 | GOLČER Jure | 66.5 |
| 990 | POZZATO Filippo | 73 |
| 990 | PETROV Evgeni | 70 |
| 990 | ROGINA Radoslav | 70 |
| 990 | BONČA Valter | 63 |