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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUSEGHIN Marzio | 70 |
| 2 | PINOTTI Marco | 67 |
| 3 | QUINZIATO Manuel | 74 |
| 4 | ASCANI Luca | 75 |
| 5 | NIBALI Vincenzo | 65 |
| 6 | CACCIA Diego | 70 |
| 7 | CIONI Dario David | 72 |
| 9 | DALL'ANTONIA Tiziano | 70 |
| 10 | FRANZOI Enrico | 70 |
| 13 | SABATINI Fabio | 74 |
| 14 | ERMETI Giairo | 60 |
| 16 | CHIARINI Riccardo | 70 |