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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COBO Juan José | 62 |
| 2 | GÓMEZ MARCHANTE José Ángel | 60 |
| 3 | BELTRÁN Manuel | 60 |
| 6 | ZABALLA Constantino | 66 |
| 7 | VALJAVEC Tadej | 59 |
| 8 | SÁNCHEZ Samuel | 65 |
| 9 | SEVILLA Óscar | 62 |
| 11 | REBELLIN Davide | 63 |
| 12 | RODRÍGUEZ Joaquim | 58 |
| 13 | VALVERDE Alejandro | 61 |
| 14 | VICIOSO Ángel | 60 |
| 15 | CUNEGO Damiano | 58 |
| 16 | DI LUCA Danilo | 61 |
| 17 | MANCEBO Francisco | 64 |
| 18 | CARUSO Giampaolo | 60 |
| 19 | EVANS Cadel | 64 |