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 = 0.7 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAMOS Kléber | 65 |
| 6 | GUAMÁ Byron | 61 |
| 7 | AFFONSO Murilo | 63 |
| 9 | LOZANO David | 63 |
| 14 | FIORILLI Tiago | 63 |
| 18 | ROSSKOPF Joey | 74 |
| 20 | SEABRA Renato | 67 |
| 22 | BOLIVAR Isaac | 64 |
| 28 | PANIZO Gregolry | 72 |
| 30 | BULGARELLI Otavio | 69 |
| 32 | RINCON DIAZ Wilson Ramiro | 61 |
| 41 | CALABRIA Fabio | 55 |
| 46 | RAGONESSI José | 67 |
| 66 | QUISHPE Carlos Eduardo | 70 |
| 68 | SCHÄFER Timo | 66 |