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 = 1.6 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | CHUMIL Sergio Geovani | 62 |
| 10 | ROJAS Gabriel Francisco | 59 |
| 16 | GUAMÁ Byron | 61 |
| 22 | RIVERA Kevin | 56 |
| 30 | BRENES Sebastian | 66 |
| 31 | PARRA Heiner Rodrigo | 51 |
| 35 | SCHUNK Conor | 65 |
| 43 | MCGEOUGH Cormac | 76 |
| 63 | PRADO Ignacio de Jesús | 65 |
| 72 | STRAVERS Jarri | 73 |
| 75 | CASTRO José Pablo | 62 |