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 = 0.8 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CONTI Valerio | 61 |
| 5 | PETILLI Simone | 65 |
| 6 | FILOSI Iuri | 70 |
| 7 | FORMOLO Davide | 62 |
| 8 | WACKERMANN Luca | 68 |
| 11 | MARINI Nicolas | 72 |
| 16 | BERTAZZO Liam | 75 |
| 46 | SPREAFICO Matteo | 69 |
| 59 | STERBINI Luca | 72 |
| 63 | MASNADA Fausto | 65 |
| 66 | MOSCA Jacopo | 65 |
| 72 | GROSU Eduard-Michael | 68 |
| 77 | MARENGO Umberto | 69 |