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 + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STASH Mamyr | 77 |
| 2 | BOEV Igor | 74 |
| 3 | FIRSANOV Sergey | 58 |
| 7 | PAPOK Siarhei | 76 |
| 9 | MAIKIN Roman | 68 |
| 14 | KATYRIN Roman | 65 |
| 16 | MAMYKIN Matvey | 62 |
| 18 | VASILYEV Maksym | 70 |
| 20 | RAMANAU Raman | 68 |
| 24 | KRITSKIY Timofey | 81 |
| 30 | SHEMETAU Mikhail | 79 |
| 31 | KOBERNYAK Evgeny | 59 |
| 33 | GRIGOREV Aleksandr | 73 |
| 35 | SAVITSKIY Ivan | 72 |