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 = 2.9 * weight - 151
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FIORILLI Tiago | 63 |
| 11 | PARRA Iván Ramiro | 62 |
| 13 | OCHOA Carlos José | 62 |
| 16 | CHACÓN José Isidro | 63 |
| 19 | RODRÍGUEZ Jackson | 58 |
| 20 | SERPA José Rodolfo | 64 |
| 24 | RAMIREZ Federico | 71 |
| 52 | BULGARELLI Otavio | 69 |
| 56 | ARSENO Alex | 71 |
| 70 | MONSALVE Yonathan | 62 |
| 71 | BERNUCCI Lorenzo | 72 |
| 80 | HOOGERLAND Johnny | 65 |