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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POZZOVIVO Domenico | 53 |
| 2 | FRAPPORTI Marco | 69 |
| 3 | SZMYD Sylwester | 60 |
| 4 | ATAPUMA Darwin | 59 |
| 6 | CUNEGO Damiano | 58 |
| 7 | BRAMBILLA Gianluca | 57 |
| 8 | BETANCUR Carlos | 60 |
| 10 | NIEMIEC Przemysław | 62 |
| 11 | DI LUCA Danilo | 61 |
| 12 | LOCATELLI Stefano | 60 |