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 = 2.2 * weight - 106
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GUAMÁ Byron | 61 |
| 11 | ROJAS Gabriel Francisco | 59 |
| 15 | CHUMIL Sergio Geovani | 62 |
| 16 | PARRA Heiner Rodrigo | 51 |
| 17 | RIVERA Kevin | 56 |
| 38 | PRADO Ignacio de Jesús | 65 |
| 54 | MCGEOUGH Cormac | 76 |
| 58 | CASTRO José Pablo | 62 |
| 62 | STRAVERS Jarri | 73 |
| 64 | SCHUNK Conor | 65 |