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 = 0.2 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHUSHEMOIN Alexandr | 62 |
| 3 | HRISTOV Stefan Koychev | 57 |
| 5 | NYCH Artem | 74 |
| 7 | KVACHUK Oleksandr | 68 |
| 8 | BERDOS Oleg | 68 |
| 10 | IRIBE Shotaro | 61 |
| 11 | PREVAR Oleksandr | 64 |
| 15 | ZEMLYAKOV Oleg | 70 |
| 17 | NECHITA Andrei | 71 |
| 20 | GROSU Eduard-Michael | 68 |
| 21 | CHOLAKOV Stanimir | 66 |
| 23 | KÜÇÜKBAY Kemal | 70 |
| 26 | VASYLYUK Andriy | 65 |
| 31 | BALKAN Serkan | 64 |
| 32 | KOMIN Aleksandr | 63 |