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 = 1.2 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | VÁZQUEZ Manuel | 67 |
| 28 | RODRÍGUEZ Jackson | 58 |
| 34 | MAYA Carlos Alberto | 58 |
| 41 | MAHORIČ Mitja | 68 |
| 42 | GAZVODA Gregor | 72 |
| 43 | KVASINA Matija | 72 |
| 51 | MATÉ Luis Ángel | 68 |
| 66 | BOŽIČ Borut | 70 |