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 = 4.6 * weight - 266
This means that on average for every extra kilogram weight a rider loses 4.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | PINZÓN Edgar Andrés | 62 |
| 8 | VILORIA Enmanuel David | 64 |
| 11 | GOMEZ Camilo Andres | 64.5 |
| 12 | RUIZ Jeferson Armando | 57 |
| 15 | GODOY Yonder | 64 |
| 16 | GÁLVIZ Carlos Johan | 65 |
| 39 | ROJAS Brandon Alejandro | 64 |
| 55 | AVILA Freddy Alejandro | 70 |
| 59 | ARROYAVE Daniel | 68 |
| 65 | WIJFJE Tom | 66 |