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 = -0.2 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GÁLVIZ Carlos Johan | 65 |
| 5 | UBETO Miguel Armando | 60 |
| 11 | FAVILLI Elia | 61 |
| 14 | ZHUPA Eugert | 78 |
| 16 | RODRÍGUEZ Jackson | 58 |
| 22 | GODOY Yonder | 64 |
| 26 | STRAKHOV Dmitry | 70 |
| 33 | OCHOA Carlos José | 62 |
| 38 | MONSALVE Yonathan | 62 |
| 46 | VDOVIN Sergey | 62.5 |