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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALORI Adriano | 68 |
| 2 | MOSER Moreno | 64 |
| 3 | BENNATI Daniele | 71 |
| 4 | MARANGONI Alan | 74 |
| 5 | SENNI Manuel | 60 |
| 6 | BOARO Manuele | 64 |
| 7 | ANTONINI Simone | 75 |
| 8 | CANOLA Marco | 66 |
| 10 | DALL'ANTONIA Tiziano | 70 |
| 11 | ZURLO Federico | 70 |
| 12 | STACCHIOTTI Riccardo | 70 |
| 13 | STERBINI Luca | 72 |
| 14 | SCARTEZZINI Michele | 63 |