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 + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUIDI Fabrizio | 73 |
| 3 | CARDOSO Manuel Antonio Leal | 70 |
| 5 | GARRIDO Martin Gerardo | 70 |
| 6 | BARBOSA Cândido | 72 |
| 7 | TONDO Xavier | 68 |
| 9 | MARQUE Alejandro Manuel | 68 |
| 12 | MACHADO Tiago | 63 |
| 13 | GAVAZZI Francesco | 65 |
| 18 | PECHARROMÁN José Antonio | 78 |
| 19 | SEVILLA Óscar | 62 |