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 = 0.6 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CANTELE Noemi | 58 |
| 2 | GUDERZO Tatiana | 54 |
| 3 | VALSECCHI Silvia | 58 |
| 5 | SCANDOLARA Valentina | 52 |
| 7 | BRONZINI Giorgia | 54 |
| 9 | LONGO BORGHINI Elisa | 59 |
| 10 | BACCAILLE Monia | 61 |
| 11 | FRAPPORTI Simona | 63 |
| 15 | GUARISCHI Barbara | 57 |