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 = -0.3 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | NIKOLAEV Sergey | 66 |
4 | TLEUBAYEV Ruslan | 70 |
7 | REINHARDT Theo | 72 |
10 | FIRSANOV Sergey | 58 |
11 | GRIGOREV Aleksandr | 73 |
13 | BOEV Igor | 74 |
22 | KOZHATAYEV Bakhtiyar | 62 |
27 | VASYLYUK Andriy | 65 |
35 | VASILYEV Maksym | 70 |
45 | TOPCHANYUK Artem | 65 |
58 | KATYRIN Roman | 65 |
60 | PREVAR Oleksandr | 64 |
62 | BIZHIGITOV Zhandos | 76 |
84 | WERDA Maximilian | 66 |