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 = 2.1 * weight - 105
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VELASCO Henry | 58 |
| 3 | CHUMIL Sergio Geovani | 62 |
| 6 | NAVARRO Royner | 62 |
| 10 | LÓPEZ Harold Martín | 55 |
| 19 | GUAMÁ Byron | 61 |
| 26 | ORDOÑEZ Santiago | 67 |
| 31 | NARVÁEZ Alexis David | 56 |
| 34 | CAZA Rommel Andrés | 63 |
| 48 | RODRIGUEZ Pedro Sébastian | 59 |
| 52 | PITA Cristian David | 67 |
| 55 | CASTAÑO Erick | 66 |