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 = -0.2 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAABE Henry | 71 |
| 3 | ROJAS Juan Carlos | 58 |
| 4 | RAMIREZ Federico | 71 |
| 17 | AMADOR Andrey | 73 |
| 32 | SEPULVEDA Luis Fernando | 66 |
| 35 | MEDINA Jose Alfredo | 65 |
| 49 | PÉREZ Pedro Pablo | 68 |
| 60 | RAGONESSI José | 67 |