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 + 116
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | CHACÓN José Isidro | 63 |
3 | PÉREZ Marlon Alirio | 68 |
4 | GONZÁLEZ Freddy Excelino | 55 |
6 | MAYA Carlos Alberto | 58 |
7 | PÉREZ Pedro Pablo | 68 |
8 | GUEVARA Manuel Enrique | 65 |
26 | UBETO Miguel Armando | 60 |
38 | GIL MARTINEZ Tomas Aurelio | 60 |
53 | SERPA José Rodolfo | 64 |
59 | MARÍN Ruber Alveiro | 55 |