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 = 0.6 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BERTOLINI Alessandro | 63 |
| 3 | SIUTSOU Kanstantsin | 68 |
| 4 | ANDRIOTTO Dario | 68 |
| 5 | VILA Francisco Javier | 67 |
| 6 | PÉREZ Marlon Alirio | 68 |
| 7 | KLIMOV Sergey | 69 |
| 8 | RUBIANO Miguel Angel | 58 |
| 9 | NOÈ Andrea | 65 |
| 10 | CHIARINI Riccardo | 70 |
| 12 | CALCAGNI Patrick | 65 |
| 14 | CACCIA Diego | 70 |
| 17 | CANNONE Donato | 75 |
| 19 | BRUTT Pavel | 70 |