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 = 1.1 * weight - 42
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 2 | COPPONI Clara | 55 |
| 3 | FIDANZA Martina | 60 |
| 4 | PATERNOSTER Letizia | 53 |
| 5 | ROBERTS Jessica | 60 |
| 7 | JASKULSKA Marta | 52 |
| 13 | PIRRONE Elena | 63 |
| 16 | PASTEINER Lisa | 56 |
| 29 | MALCOTTI Barbara | 52 |
| 31 | VAN DER HULST Amber | 66 |
| 45 | GUAZZINI Vittoria | 65 |
| 46 | ZANARDI Silvia | 56 |
| 61 | CONSONNI Chiara | 59 |