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 - 82
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | ROJAS Juan Carlos | 58 |
4 | ORJUELA Fernando | 60 |
18 | RAABE Henry | 71 |
21 | SEROV Alexander | 77 |
24 | AGUIRRE Hernán Ricardo | 55 |
35 | RAMIREZ Federico | 71 |
44 | ERSHOV Artur | 70 |
45 | KRITSKIY Timofey | 81 |
77 | EVTUSHENKO Alexander | 72 |
78 | KURBATOV Alexey | 73 |