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 = 4.2 * weight - 232
This means that on average for every extra kilogram weight a rider loses 4.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | MAYA Carlos Alberto | 58 |
4 | CHACÓN José Isidro | 63 |
7 | OCHOA Carlos José | 62 |
9 | RODRÍGUEZ Jackson | 58 |
17 | GUEVARA Manuel Enrique | 65 |
33 | GIL MARTINEZ Tomas Aurelio | 60 |
35 | UBETO Miguel Armando | 60 |
36 | PÉREZ Marlon Alirio | 68 |
50 | SEPULVEDA Luis Fernando | 66 |
81 | SCARSELLI Leonardo | 67 |
87 | RANGEL Hector Hugo | 63 |