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 = 0.5 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TROFIMOV Yuri | 59 |
| 3 | KOBERNYAK Evgeny | 59 |
| 5 | ROSTOVTSEV Sergey | 73 |
| 7 | KOMIN Aleksandr | 63 |
| 10 | KURIANOV Stepan | 74 |
| 11 | KARALIOK Yauheni | 75 |
| 26 | FATKULLIN Valerii | 62 |
| 37 | ZHURKIN Nikolay | 77 |
| 39 | RIKUNOV Petr | 71 |
| 42 | BUDYAK Anatoliy | 53 |
| 43 | ZHUKENOV Aspan | 76 |
| 44 | MUZYCHKIN Anton | 76 |