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 = 1.4 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
9 | KURBATOV Alexey | 73 |
10 | ROJAS Juan Carlos | 58 |
24 | RAABE Henry | 71 |
25 | AGUIRRE Hernán Ricardo | 55 |
34 | ORJUELA Fernando | 60 |
39 | RAMIREZ Federico | 71 |
47 | EVTUSHENKO Alexander | 72 |
50 | KRITSKIY Timofey | 81 |
53 | ERSHOV Artur | 70 |
80 | SEROV Alexander | 77 |