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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICCÒ Riccardo | 57 |
| 2 | KREUZIGER Roman | 65 |
| 3 | FIRSANOV Sergey | 58 |
| 4 | CANNONE Donato | 75 |
| 6 | CAPECCHI Eros | 65 |
| 9 | KIRYIENKA Vasil | 69 |
| 11 | CHIARINI Riccardo | 70 |
| 14 | RAIMBEKOV Bolat | 66 |