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 = 2.6 * weight - 132
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MAYA Carlos Alberto | 58 |
| 8 | OCHOA Carlos José | 62 |
| 13 | SERPA José Rodolfo | 64 |
| 21 | RAMIREZ Federico | 71 |
| 32 | AMADOR Andrey | 73 |
| 33 | PÉREZ Marlon Alirio | 68 |
| 67 | RANGEL Hector Hugo | 63 |
| 79 | RAABE Henry | 71 |
| 85 | PÉREZ Pedro Pablo | 68 |