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 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | NIKOLAEV Sergey | 66 |
2 | SAVITSKIY Ivan | 72 |
5 | KUSCHYNSKI Aleksandr | 65 |
8 | FIRSANOV Sergey | 58 |
11 | STACHOWIAK Adam | 62 |
14 | LAGKUTI Sergiy | 68 |
15 | STROKAU Vasili | 74 |
16 | KRITSKIY Timofey | 81 |
17 | PREVAR Oleksandr | 64 |
18 | JANIACZYK Błażej | 68 |
20 | BANASZEK Adrian | 79 |
21 | FOLIFOROV Alexander | 61 |
23 | CHERKASOV Nikolay | 68 |
24 | BUDYAK Anatoliy | 53 |
25 | KURIANOV Stepan | 74 |