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 = 0.9 * weight - 45
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PÉREZ Marlon Alirio | 68 |
| 3 | GONZÁLEZ Freddy Excelino | 55 |
| 4 | UBETO Miguel Armando | 60 |
| 5 | MAYA Carlos Alberto | 58 |
| 6 | PÉREZ Pedro Pablo | 68 |
| 10 | CHACÓN José Isidro | 63 |
| 15 | GUEVARA Manuel Enrique | 65 |
| 31 | GIL MARTINEZ Tomas Aurelio | 60 |
| 35 | ALZATE Carlos | 74 |
| 39 | SERPA José Rodolfo | 64 |