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 = -0.6 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Pedro Pablo | 68 |
| 2 | AMADOR Andrey | 73 |
| 7 | RAABE Henry | 71 |
| 11 | ROJAS Juan Carlos | 58 |
| 21 | RAGONESSI José | 67 |
| 42 | SEPULVEDA Luis Fernando | 66 |
| 46 | RAMIREZ Federico | 71 |
| 55 | MEDINA Jose Alfredo | 65 |