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 = 0.9 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUEVARA Manuel Enrique | 65 |
| 5 | UBETO Miguel Armando | 60 |
| 12 | SEPULVEDA Luis Fernando | 66 |
| 16 | GIL MARTINEZ Tomas Aurelio | 60 |
| 18 | RODRÍGUEZ Jackson | 58 |
| 25 | CHACÓN José Isidro | 63 |
| 47 | RANGEL Hector Hugo | 63 |
| 48 | PÉREZ Marlon Alirio | 68 |
| 49 | MEDINA Jose Alfredo | 65 |
| 52 | MAYA Carlos Alberto | 58 |
| 53 | SCARSELLI Leonardo | 67 |
| 54 | ARRIAGADA Marcelo Ruben | 56 |
| 56 | OCHOA Carlos José | 62 |
| 67 | GARRIDO Gonzalo | 68 |