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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRIGO Dario | 66 |
| 2 | POZZATO Filippo | 73 |
| 4 | QUINZIATO Manuel | 74 |
| 5 | PINOTTI Marco | 67 |
| 6 | FERRARI Diego | 74 |
| 7 | BRUSEGHIN Marzio | 70 |
| 8 | VELO Marco | 70 |
| 9 | SERPELLINI Marco | 75 |
| 10 | RADAELLI Mauro | 67 |
| 14 | BRASI Rossano | 67 |