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 = 2.8 * weight - 130
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GODOY Yonder | 64 |
| 6 | GUAMÁ Byron | 61 |
| 8 | ALBA Juan Diego | 59 |
| 19 | REVETE Brayan | 62 |
| 34 | MERCHAN Didier | 57 |
| 50 | VILORIA Enmanuel David | 64 |
| 52 | GÁLVIZ Carlos Johan | 65 |
| 74 | GUEVARA Gregory | 68 |
| 75 | RUIZ Jeferson Armando | 57 |
| 77 | RESTREPO Jhonatan | 73 |
| 82 | ROJAS Brandon Alejandro | 64 |