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 = -30.5 * weight + 2720
This means that on average for every extra kilogram weight a rider loses -30.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | CLERC Aurélien | 71 |
| 7 | GUYTON Scott | 74 |
| 9 | SIEDLER Sebastian | 75 |
| 11 | BOŽIČ Borut | 70 |
| 17 | STRGAR Matic | 62 |
| 990 | SINKEWITZ Patrik | 63 |
| 990 | MAHORIČ Mitja | 68 |
| 990 | GOLČER Jure | 66.5 |
| 990 | POZZATO Filippo | 73 |
| 990 | PETROV Evgeni | 70 |
| 990 | GAZVODA Gregor | 72 |
| 990 | ROGINA Radoslav | 70 |
| 990 | BONČA Valter | 63 |