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 = 3.9 * weight - 202
This means that on average for every extra kilogram weight a rider loses 3.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SERPA José Rodolfo | 64 |
| 5 | RODRÍGUEZ Jackson | 58 |
| 9 | MAYA Carlos Alberto | 58 |
| 12 | CHACÓN José Isidro | 63 |
| 16 | SARMIENTO Cayetano José | 58 |
| 33 | PEDRAZA Wálter Fernando | 58 |
| 38 | OCHOA Carlos José | 62 |
| 74 | ZARATE Jesús | 70 |
| 77 | RANGEL Hector Hugo | 63 |
| 78 | BELLI Wladimir | 64 |
| 98 | LODDO Alberto | 60 |