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 = -1.7 * weight + 142
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GODOY Yonder | 64 |
| 5 | ALBA Juan Diego | 59 |
| 13 | RESTREPO Jhonatan | 73 |
| 14 | GÁLVIZ Carlos Johan | 65 |
| 34 | VILORIA Enmanuel David | 64 |
| 39 | RUIZ Jeferson Armando | 57 |
| 49 | GUAMÁ Byron | 61 |
| 53 | MERCHAN Didier | 57 |
| 57 | ROJAS Brandon Alejandro | 64 |
| 60 | REVETE Brayan | 62 |