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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALVERDE Alejandro | 61 |
| 2 | VICIOSO Ángel | 60 |
| 3 | REBELLIN Davide | 63 |
| 4 | DI LUCA Danilo | 61 |
| 5 | FERRÍO Jorge | 51 |
| 6 | ETXEBARRIA David | 55 |
| 7 | OSA Aitor | 64 |
| 9 | AZEVEDO José Bento | 59 |
| 10 | LEIPHEIMER Levi | 62 |
| 11 | CUNEGO Damiano | 58 |
| 12 | LANDIS Floyd | 68 |
| 13 | SERRANO Marcos Antonio | 63 |
| 14 | SÁNCHEZ Samuel | 65 |
| 15 | BASSO Ivan | 70 |