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 = 1.2 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ÁLVAREZ Miguel Luis | 60 |
| 3 | MUÑOZ William David | 64 |
| 7 | CAÑAVERAL Johnatan | 60 |
| 11 | PEDRAZA Wálter Fernando | 58 |
| 28 | KURBATOV Alexey | 73 |
| 43 | OSORIO Alejandro | 62 |
| 59 | VOROBYEV Anton | 74 |
| 61 | ROJAS Juan Carlos | 58 |
| 64 | CHALAPUD Robinson | 63 |