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 - 52
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUARTE Fabio | 55 |
| 9 | ZAPATA Javier de Jesús | 62 |
| 13 | SERPA José Rodolfo | 64 |
| 16 | CHACÓN José Isidro | 63 |
| 26 | GONZÁLEZ Freddy Excelino | 55 |
| 31 | WILCHES Juan Pablo | 56 |
| 48 | CHALAPUD Robinson | 63 |
| 75 | PEDRAZA Wálter Fernando | 58 |
| 77 | SANDOVAL Edwin Alexander | 64 |
| 84 | ALZATE Carlos | 74 |
| 85 | RODRÍGUEZ Jackson | 58 |
| 91 | MAYA Carlos Alberto | 58 |