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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUKHORUCHENKOV Sergei | 72 |
| 1 | PIKKUUS Aavo | 76 |
| 1 | AVERIN Alexandre | 69 |
| 5 | GLAUS Gilbert | 67 |
| 6 | KLASA Michal | 79 |
| 6 | KONEČNÝ Vlastibor | 75 |
| 7 | JOURDAN Christian | 64 |
| 9 | JANKIEWICZ Jan | 68 |
| 9 | MYTNIK Tadeusz | 75 |
| 11 | FERNÁNDEZ Juan | 68 |