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 - 25
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAMOS Kléber | 65 |
| 3 | GUAMÁ Byron | 61 |
| 9 | FIORILLI Tiago | 63 |
| 11 | BOLIVAR Isaac | 64 |
| 12 | AFFONSO Murilo | 63 |
| 13 | SEABRA Renato | 67 |
| 16 | ROSSKOPF Joey | 74 |
| 24 | LOZANO David | 63 |
| 27 | BULGARELLI Otavio | 69 |
| 31 | PANIZO Gregolry | 72 |
| 39 | CALABRIA Fabio | 55 |
| 50 | RAGONESSI José | 67 |
| 57 | SCHÄFER Timo | 66 |
| 63 | QUISHPE Carlos Eduardo | 70 |