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 = -0.1 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAVITSKIY Ivan | 72 |
| 3 | ERSHOV Artur | 70 |
| 4 | MAIKIN Roman | 68 |
| 5 | NIKOLAEV Sergey | 66 |
| 8 | STEVIĆ Ivan | 66 |
| 11 | BIZHIGITOV Zhandos | 76 |
| 12 | BUTS Vitaliy | 68 |
| 14 | TATARINOV Gennadiy | 67 |
| 16 | SOLOMENNIKOV Andrei | 72 |
| 17 | KRITSKIY Timofey | 81 |
| 19 | GRIGOREV Aleksandr | 73 |
| 20 | KUSCHYNSKI Aleksandr | 65 |
| 24 | KOSTYUK Denys | 66 |
| 25 | ZHYHUNOU Dzmitry | 72 |
| 26 | ZHURKIN Nikolay | 77 |
| 27 | BUDIAK Anatolii | 53 |