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 = 1.6 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | PÉREZ Marlon Alirio | 68 |
| 8 | UBETO Miguel Armando | 60 |
| 9 | RANGEL Hector Hugo | 63 |
| 18 | GUEVARA Manuel Enrique | 65 |
| 19 | RODRÍGUEZ Jackson | 58 |
| 30 | MAYA Carlos Alberto | 58 |
| 32 | GIL MARTINEZ Tomas Aurelio | 60 |
| 34 | CHACÓN José Isidro | 63 |
| 40 | SCARSELLI Leonardo | 67 |
| 57 | OCHOA Carlos José | 62 |
| 99 | SEPULVEDA Luis Fernando | 66 |