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 = 6.1 * weight - 365
This means that on average for every extra kilogram weight a rider loses 6.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONSALVE Yonathan | 62 |
| 3 | RODRÍGUEZ Jackson | 58 |
| 5 | HOOGERLAND Johnny | 65 |
| 9 | SERPA José Rodolfo | 64 |
| 12 | CHACÓN José Isidro | 63 |
| 13 | FIORILLI Tiago | 63 |
| 25 | OCHOA Carlos José | 62 |
| 30 | PARRA Iván Ramiro | 62 |
| 48 | GÁLVIZ Carlos Johan | 65 |
| 51 | BULGARELLI Otavio | 69 |
| 80 | ARSENO Alex | 71 |
| 82 | BERNUCCI Lorenzo | 72 |