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 = 0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | OCHOA Carlos José | 62 |
| 7 | MAYA Carlos Alberto | 58 |
| 11 | RAMIREZ Federico | 71 |
| 14 | SERPA José Rodolfo | 64 |
| 16 | PÉREZ Marlon Alirio | 68 |
| 20 | RAABE Henry | 71 |
| 26 | RODRÍGUEZ Jackson | 58 |
| 31 | AMADOR Andrey | 73 |
| 50 | CHACÓN José Isidro | 63 |
| 66 | PÉREZ Pedro Pablo | 68 |
| 76 | RANGEL Hector Hugo | 63 |