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 = 1.1 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | UBETO Miguel Armando | 60 |
| 2 | MAYA Carlos Alberto | 58 |
| 4 | PÉREZ Marlon Alirio | 68 |
| 5 | GONZÁLEZ Freddy Excelino | 55 |
| 9 | PÉREZ Pedro Pablo | 68 |
| 12 | CHACÓN José Isidro | 63 |
| 14 | GUEVARA Manuel Enrique | 65 |
| 20 | GIL MARTINEZ Tomas Aurelio | 60 |
| 33 | MARÍN Ruber Alveiro | 55 |
| 55 | ALZATE Carlos | 74 |
| 73 | SERPA José Rodolfo | 64 |
| 112 | OCHOA Carlos José | 62 |