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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSTOVTSEV Sergey | 73 |
| 2 | ZUBOV Matvey | 72 |
| 3 | KOBERNYAK Evgeny | 59 |
| 5 | TROFIMOV Yuri | 59 |
| 6 | KARALIOK Yauheni | 75 |
| 10 | KOMIN Aleksandr | 63 |
| 12 | KUSTADINCHEV Roman | 66 |
| 13 | KURIANOV Stepan | 74 |
| 14 | MUZYCHKIN Anton | 76 |
| 17 | AKHRAMENKA Yauheni | 78 |
| 19 | RIKUNOV Petr | 71 |
| 28 | BUDYAK Anatoliy | 53 |