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 + 42
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHPILEVSKY Boris | 78 |
| 3 | PORSEV Alexander | 80 |
| 7 | STEVIĆ Ivan | 66 |
| 14 | FIRSANOV Sergey | 58 |
| 15 | BĒCIS Armands | 82 |
| 18 | VASYLYUK Andriy | 65 |
| 21 | MIRONOV Alexander | 68 |
| 27 | BELKOV Maxim | 71 |
| 28 | BOEV Igor | 74 |
| 34 | SOLOMENNIKOV Andrei | 72 |
| 38 | ZUBOV Matvey | 72 |
| 40 | PREVAR Oleksandr | 64 |
| 44 | SKUJIŅŠ Toms | 70 |
| 46 | KATYRIN Roman | 65 |
| 49 | VOROBYEV Anton | 74 |
| 51 | FLAKSIS Andžs | 79 |