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 = 1.7 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GUAMÁ Byron | 61 |
| 7 | RAMOS Kléber | 65 |
| 11 | AFFONSO Murilo | 63 |
| 19 | LOZANO David | 63 |
| 27 | SCHÄFER Timo | 66 |
| 29 | ROSSKOPF Joey | 74 |
| 30 | FIORILLI Tiago | 63 |
| 32 | SEABRA Renato | 67 |
| 37 | CALABRIA Fabio | 55 |
| 46 | QUISHPE Carlos Eduardo | 70 |
| 49 | BOLIVAR Isaac | 64 |
| 55 | RAGONESSI José | 67 |
| 63 | PANIZO Gregolry | 72 |
| 64 | BULGARELLI Otavio | 69 |