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 = -1.4 * weight + 138
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZAPATA Javier de Jesús | 62 |
| 6 | RODRÍGUEZ Jackson | 58 |
| 12 | SERPA José Rodolfo | 64 |
| 18 | RANGEL Hector Hugo | 63 |
| 23 | PEDRAZA Wálter Fernando | 58 |
| 33 | MIRONOV Alexander | 68 |
| 42 | MAYA Carlos Alberto | 58 |
| 70 | FIRSANOV Sergey | 58 |
| 72 | CHACÓN José Isidro | 63 |
| 98 | SARMIENTO Cayetano José | 58 |
| 99 | LODDO Alberto | 60 |
| 100 | PÉREZ Pedro Pablo | 68 |
| 102 | GONZÁLEZ Freddy Excelino | 55 |