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 = 2.9 * weight - 159
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | ROJAS Juan Carlos | 58 |
4 | PEDRAZA Wálter Fernando | 58 |
8 | OSORIO Alejandro | 62 |
11 | CHALAPUD Robinson | 63 |
17 | CAÑAVERAL Johnatan | 60 |
23 | ÁLVAREZ Miguel Luis | 60 |
47 | VOROBYEV Anton | 74 |
52 | MUÑOZ William David | 64 |
55 | KURBATOV Alexey | 73 |